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Free Download Udemy - 45-Day Raspberry Pi Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 14.82 GB | Duration: 26h 34m Learn Raspberry Pi from Setup to Project Deployment: Programming, Electronics, and Practical Applications What you'll learn Set up and configure your Raspberry Pi for a variety of projects Code in Python to interact with hardware components Integrate sensors and modules to create interactive projects Build and troubleshoot real-world Raspberry Pi applications Understand networking basics and how to use your Raspberry Pi for IoT (Internet of Things) projects Requirements No prior programming or hardware experience is required! You'll need a Raspberry Pi (any model), a microSD card, and a power supply to follow along with the projects A willingness to experiment, tinker, and learn as you go! Description Unlock the full potential of the Raspberry Pi with our 45-Day Raspberry Pi Bootcamp, designed to take you from beginner to advanced in just six weeks. Whether you're a tech enthusiast, a hobbyist, or an aspiring engineer, this course offers 12 hours and 26 minutes of comprehensive video lessons that cover everything you need to know to become proficient with the Raspberry Pi.In this intensive bootcamp, you'll master the fundamentals of setting up your Raspberry Pi, installing essential software, and diving into programming with Python and Linux commands. You'll progress through hands-on projects like building a weather station, controlling LED lights, creating a home automation system, and even deploying your own web server. Each lesson includes step-by-step demonstrations and practical exercises to solidify your skills.Our instructors, part of the Educational Engineering Team, are seasoned professionals with years of experience in the tech and engineering fields. They've designed this bootcamp to be accessible for all levels, ensuring that even beginners without prior programming knowledge can keep up. By the end of the course, you'll have a portfolio of impressive projects and the confidence to create, troubleshoot, and expand your own Raspberry Pi projects.Enroll Now and take the first step towards Raspberry Pi mastery. Transform your ideas into reality with hands-on learning, expert guidance, and engaging content.Testimonials:"This course transformed my understanding of Raspberry Pi! From knowing nothing to building projects on my own in just a month!" - Sarah J."I loved the hands-on approach and practical applications. The instructors are knowledgeable and explain everything clearly." - Mike T."A must-take course for anyone wanting to delve into electronics and programming with Raspberry Pi. Highly recommend!" - Alex R.Call to ActionEnroll Now to kickstart your journey with Raspberry Pi! Start building and programming your own tech projects today.What You Will LearnRaspberry Pi Setup & Configuration: From unboxing to installing the OS and setting up Wi-Fi and SSH.Programming with Python: Write scripts, automate tasks, and interact with sensors and components.Linux Command Line Basics: Navigate and control your Raspberry Pi effectively.Hands-on Projects: Build and deploy real-world applications like home automation systems, web servers, and more.Troubleshooting & Debugging: Identify common issues and fix them efficiently.Who is This Course ForBeginners: Those new to programming, electronics, or Raspberry Pi, seeking a structured and supportive learning experience.Tech Enthusiasts: Hobbyists wanting to explore the possibilities of Raspberry Pi projects.STEM Educators and Students: Teachers and learners who want practical skills for educational settings or personal growth.Engineers and IT Professionals: Individuals interested in enhancing their tech toolkit for work or personal projects.RequirementsA Raspberry Pi Kit: (Raspberry Pi 4 recommended) including a power supply, microSD card, and other basic peripherals.Basic PC Knowledge: Familiarity with computer usage; no programming experience required.Internet Access: For software installation and updates.Willingness to Learn: Dedication to complete projects and follow instructions is key. Overview Section 1: Day 1-2 Getting Started with Raspberry Pi Lecture 1 Introduction to Raspberry Pi Section 2: Day 3-5 Raspberry Pi Step By Step: Your Complete Guide Lecture 2 Introduction and What you will get when you join Lecture 3 Quick Intro To Raspberry Pi World Lecture 4 10 Uses for Raspberry Pi Board Lecture 5 Different Versions of Raspberry Pi Lecture 6 Raspberry Pi Components Lecture 7 OS Versions Available for Raspberry Pi Lecture 8 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 9 Course Material Works with any high tech board! Lecture 10 What do you need to Run the Raspberry Pi Lecture 11 Getting OS and Running Raspberry Pi Lecture 12 Setting Up Raspberry Pi for the First Time Lecture 13 Simulating Raspberry Pi Lecture 14 Simple Starter Kit Lecture 15 Raspberry Pi Modeb B Unboxing Lecture 16 A tour inside Raspberry Pi Operating System Lecture 17 Raspberry Pi Command Line Lecture 18 Updating Software Packages Lecture 19 Control Raspberry Pi from another Device using SSH Lecture 20 Control Raspberry Pi from another Device using VNC Server Lecture 21 Assign A fix IP Address for Raspberry Pi Board Lecture 22 Connecting Raspberry Pi to another computer using Network Cable Lecture 23 Programming GPIO with Python Lecture 24 Python and Your First Code Lecture 25 Installing the Control Library Lecture 26 Example 1 Blinking Led Lecture 27 Example Two Reading Input Values From A Switch Lecture 28 Example Three Running the Led Using LDR Lecture 29 Example Four PIR Motion Detector Lecture 30 BCM Numbering instead of Numbering by Order Lecture 31 Adafruit Protection Box and Connection Cable Lecture 32 The End Lecture 33 Who We Are Section 3: Day 6-7 Mastering Python Programming with Raspberry Pi Lecture 34 Introduction Lecture 35 Why Python Lecture 36 Download and Install Python Lecture 37 Hello World and Help Function Lecture 38 Variables and basic data types in Python Lecture 39 Commenting your code Lecture 40 Reading keyboard input Lecture 41 Exercise - Build a program to say Hello Lecture 42 Exercise Build a simple calculator app Lecture 43 Conditional Statement Lecture 44 Loops For Loop Lecture 45 Loops While Loop Lecture 46 Exercise User Name and Password Section 4: Day 8-10 I2C Communication between Arduino and Raspberry Pi Lecture 47 Introduction Lecture 48 Hardware and Software Requirements Lecture 49 Download and Install Arduino Pro IDE Lecture 50 Download and Install Windows 10 IoT Core on SD Card Lecture 51 Download and Install Visual Studio for Coding Lecture 52 Windows Device Portal Walkthrough Lecture 53 I2C Overview Lecture 54 Arduino Wire Library Lecture 55 I2C Circuit Connection Lecture 56 Arduino Coding Lecture 57 Windows IoT User Interface Lecture 58 Windows IoT C Backend Coding Lecture 59 Practical Connection Lecture 60 Practical Testing Lecture 61 Introduction Lecture 62 Where to use i2c communication Lecture 63 I2C Pins in Arduino Lecture 64 Arduino Wire Library I2C Functions Lecture 65 Arduino to Arduino I2C Communication Circuit Design Lecture 66 Arduino to Arduino I2C Communication coding Lecture 67 Arduino to DS1307 Time and Date Module Circuit Design Section 5: Day 11-12 Arduino Interfacing with Sensors in Your Smartphone Lecture 68 Introduction Lecture 69 Hardware and Software Requirements Lecture 70 Download and Install MIT App Inventor Lecture 71 Download and Install Arduino Pro IDE Lecture 72 What is App Inventor Lecture 73 MIT App Inventor User Interface Explained Lecture 74 Make your first Mobile App - Blink LED Lecture 75 Code your Arduino - Blink LED Lecture 76 Proximity Sensor Mobile App Lecture 77 Light Sensor Lecture 78 Practical Testing Lecture 79 Accelerometer Sensor Lecture 80 Coding Accelerometer Sensor Lecture 81 Gyroscope Sensor Mobile App and Arduino Code Lecture 82 Magnetometer Sensor Mobile App and Arduino Code Lecture 83 What can you do and system requirements Lecture 84 What is app inventor in More Details Lecture 85 Java Vs App Inventor Lecture 86 Why using App Inventor Lecture 87 App Architecture Lecture 88 Lets start Making Apps Lecture 89 First App Add Items and Start Programming with Blocks Lecture 90 First App Testing and Running the App using Emulator Lecture 91 First App Testing and Running with USB or APK File Lecture 92 Resources you need to visit to Create Better Apps Lecture 93 How to Create a website for your app for free and take credit for it Lecture 94 App Inventor Overview Lecture 95 An App Challenge Lecture 96 System Requirements Lecture 97 App Inventor Vs Java and C Lecture 98 Why App Inventor Works Lecture 99 App Architecture Lecture 100 Download and Install App Inventor on Your Device Lecture 101 App Inventor User Interface with Example Lecture 102 Arduino Coding for Led on Off Practical Example Lecture 103 Making an Android App for Led On Off Practical Example Lecture 104 Testing On Off App with Arduino Lecture 105 Make a Log In Protected Led Control App Lecture 106 Slider Application to Control Led Brightness Lecture 107 Slider Practical Lecture 108 Practical Connect Bluetooth Module Lecture 109 RGB Led Controller Android Application Lecture 110 RGB LED Arduino Coding Lecture 111 Sensor Readings Arduino Coding Lecture 112 Sensor Readings Android Application Lecture 113 Relay On Off Simple Example Lecture 114 LCD Text Arduino Coding Lecture 115 LCD Text Android Application Lecture 116 Remote Controlled Robot Android Application Lecture 117 Remote Controlled Robot Arduino Coding Lecture 118 Make Money with MIT App Inventor Apps Lecture 119 How to read analog sensors using Arduino Lecture 120 Software Requirements Lecture 121 Wiring Analog Sensors to Arduino Lecture 122 Writing code to collect reading from analog sensors Lecture 123 Practical Analog Sensor Testing Lecture 124 Analyze and convert Sensor Reading Lecture 125 Manipulating Sensors Reading Lecture 126 ADC in Arduino Explained Section 6: Day 13-15 Make a Smart Mirror Using Raspberry Pi Lecture 127 Introduction Lecture 128 Download Raspian Operating System for Raspberry Pi Lecture 129 Install Raspbian Operating System on the SD Card Lecture 130 Starting Raspian and Getting the Code and Libraries Lecture 131 Downloading and Installing pip Lecture 132 Installing Dependencies Lecture 133 Getting API Token for Weather Lecture 134 Adding the API Token and Running the Application Lecture 135 Before Practical Assembly Lecture 136 Practical Assembly Section 7: Day 16-19 ESP32 + Arduino Interfacing: A Step by Step Course Lecture 137 Introduction Lecture 138 Hardware and Software Requirements Lecture 139 What is MQTT and why we need it Lecture 140 Create mqtt server account Lecture 141 What is ESP32 Lecture 142 ESP 32 Pinout v1 DOIT Lecture 143 ESP8266 Download and Install Arduino ESP and USB Driver Lecture 144 ESP32 v1 Download and Install Arduino Development environment Lecture 145 Arduino Coding Lecture 146 ESP Coding Part1 Define Variables Lecture 147 ESP Coding Part2 Wifi and MQTT Lecture 148 ESP Coding Part3 Read Incoming Data from Arduino Lecture 149 Upload Code to Arduino and Test it Lecture 150 Edit Code and Upload it to ESP32 then Test it Lecture 151 Final ESP32 Testing Lecture 152 Circuit Connection Explained Section 8: Day 20 Raspberry Pi Mid Certification 1 Mastery: Test Your Skills Section 9: Day 21-22 Obstacle Avoiding Robot with Raspberry Pi Lecture 153 Introduction Lecture 154 Required Material Lecture 155 Raspberry Pi and Ultrasonic Sensor Lecture 156 IR Sensor and Motor Driver Lecture 157 Voltage Regulator and DC Motors Lecture 158 Circuit Diagram Lecture 159 Code Lecture 160 The End Section 10: Day 23-24 Home Automation Using Raspberry Pi and Windows 10 IoT Lecture 161 Introduction & Getting Started Lecture 162 Hardware and Software Requirements Lecture 163 Smart Home Rooms Setup Lecture 164 Devices and Rooms addressing Mechanism Lecture 165 Download and Install Fritzing Software Lecture 166 Circuit Schematic Part1 Lecture 167 Circuit Schematic Part2 Lecture 168 How to wire home appliances with Relay Module Lecture 169 How a Relay Module Works Lecture 170 Software and Communication Protocol Lecture 171 Software and Communication Protocol Example Lecture 172 Download and Install Arduino IDE Lecture 173 Arduino Coding Part1 Lecture 174 Arduino Coding Part2 Lecture 175 Arduino Coding Part3 Lecture 176 Download and Install Visual Studio for Coding Lecture 177 Download and Install Windows 10 IoT Core on SD Card Lecture 178 Windows Device Portal Walkthrough Lecture 179 Prepare Environment for Your First Code Lecture 180 Classes Diagram Lecture 181 User Interface Structure Explained Lecture 182 User Interface - Main Dashboard Part1 Lecture 183 User Interface - Main Dashboard Part2 Lecture 184 Practical Circuit Connection Lecture 185 Practical Testing Lecture 186 Hardware and Software Requirements Lecture 187 Download and Install Arduino Pro IDE Lecture 188 Download and Install Windows 10 IoT Core on SD Card Lecture 189 Windows Device Portal Walkthrough Lecture 190 Download and Install Visual Studio for Coding Lecture 191 I2C Overview Lecture 192 Arduino Wire Library Lecture 193 I2C Circuit Connection Lecture 194 Arduino Coding Lecture 195 Windows IoT User Interface Lecture 196 Windows IoT C Backend Coding Lecture 197 Practical Connection Lecture 198 Practical Testing Lecture 199 Where to use i2c communication Lecture 200 I2C Pins in Arduino Lecture 201 Arduino Wire Library I2C Functions Lecture 202 Arduino to Arduino I2C Communication Circuit Design Lecture 203 Arduino to Arduino I2C Communication coding Lecture 204 Arduino to DS1307 Time and Date Module Circuit Design Section 11: Day 26-36 Raspberry Pi Based SCADA System Lecture 205 Introduction Lecture 206 Introduction to SCADA Lecture 207 Functions and Alarms Lecture 208 Hardware and Software Requirements Lecture 209 Download and Install Arduino IDE Lecture 210 Arduino Board Lecture 211 Circuit Connection Lecture 212 Coding Lecture 213 Testing First Board Lecture 214 Important Concepts Lecture 215 Raspberry Pi Python Coding Lecture 216 Create SCADA Web Interface Lecture 217 Download and Install Raspian OS on Your Raspberry Pi Board Lecture 218 Enable SSH and Update Raspian Lecture 219 Final Practical Implementation Lecture 220 Quick Intro To Raspberry Pi World Lecture 221 10 Uses for Raspberry Pi Board Lecture 222 Different Versions of Raspberry Pi Lecture 223 Raspberry Pi Components Lecture 224 OS Versions Available for Raspberry Pi Lecture 225 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 226 Course Material Works with any high-tech board! Lecture 227 What do you need to RunThe Raspberry Pi Lecture 228 Getting OS and Running Raspberry Pi Lecture 229 Setting Up Raspberry Pi for the First Time Lecture 230 Simulating Raspberry Pi Lecture 231 A Tour inside Raspberry Pi Operating System Lecture 232 Raspberry Pi Command Line Lecture 233 Updating Software Packages Lecture 234 Control Raspberry Pi Board From another device Lecture 235 Control Raspberry Pi from another Device using VNC Server Lecture 236 Assign A fix IP Address for Raspberry Pi Board Lecture 237 Connecting Raspberry Pi to another computer using Network Cable Lecture 238 Programming GPIO with Python Lecture 239 Python and Your First Code Lecture 240 Installing the Control Library Lecture 241 Example 1 Blinking Led Lecture 242 Example Two Reading Input Values From A Switch Lecture 243 Example Three Running the Led Using LDR Lecture 244 Example Four PIR Motion Detector Section 12: Day 37-38 Final Project Lecture 245 Final Course Project Section 13: Day 40-42 Raspberry Pi Final Certification Mastery: Test Your Skills Section 14: Day 43-45 What is next - Text Lecture Lecture 246 45-Day Raspberry Pi Bootcamp: What's Next? Beginners who want to start their journey into coding and hardware with Raspberry Pi,Intermediate learners looking to deepen their knowledge of Raspberry Pi and build more advanced projects,Hobbyists, tech enthusiasts, and makers who want to bring their ideas to life using Raspberry Pi,Students and educators who want a hands-on approach to learning coding and hardware integration Screenshot Homepage https://www.udemy.com/course/45-day-raspberry-pi-bootcamp/ Rapidgator https://rg.to/file/197a9f7f25239a11aae17c90e053c6ad/frfki.45Day.Raspberry.Pi.Bootcamp.part02.rar.html https://rg.to/file/25f5943937f858206b94e610c40f9265/frfki.45Day.Raspberry.Pi.Bootcamp.part14.rar.html https://rg.to/file/43854e6fa2e120d72928d828c8763a6a/frfki.45Day.Raspberry.Pi.Bootcamp.part16.rar.html https://rg.to/file/442215adbca2214a080f40a210fe6826/frfki.45Day.Raspberry.Pi.Bootcamp.part01.rar.html https://rg.to/file/4531eb4e3daf243bbe566710a0800e1c/frfki.45Day.Raspberry.Pi.Bootcamp.part07.rar.html https://rg.to/file/6e16ab355114ddeaa6bbca246db599e0/frfki.45Day.Raspberry.Pi.Bootcamp.part10.rar.html https://rg.to/file/708de7f299a9da32df84b7552fc10093/frfki.45Day.Raspberry.Pi.Bootcamp.part12.rar.html https://rg.to/file/72a1309807a10b7c90f6ac78d1f0defc/frfki.45Day.Raspberry.Pi.Bootcamp.part08.rar.html https://rg.to/file/92b9cb3360dd4f3b53731f176beaf75c/frfki.45Day.Raspberry.Pi.Bootcamp.part05.rar.html https://rg.to/file/a902221f44645e7852aa08ce3aca316d/frfki.45Day.Raspberry.Pi.Bootcamp.part06.rar.html https://rg.to/file/abc506fac107c8f28d65eda92d4db0ba/frfki.45Day.Raspberry.Pi.Bootcamp.part11.rar.html https://rg.to/file/e30348fa00bb5658fcbeb459ef54ecd4/frfki.45Day.Raspberry.Pi.Bootcamp.part15.rar.html https://rg.to/file/e5a40ed53725602833b2026a0cacb52d/frfki.45Day.Raspberry.Pi.Bootcamp.part09.rar.html https://rg.to/file/f39cc6190bf2953b84f9b852bf732d77/frfki.45Day.Raspberry.Pi.Bootcamp.part13.rar.html https://rg.to/file/f78fd03a25360a784aa048908744476e/frfki.45Day.Raspberry.Pi.Bootcamp.part04.rar.html https://rg.to/file/fb62503ad8898a90085671f3104c281c/frfki.45Day.Raspberry.Pi.Bootcamp.part03.rar.html Fikper Free Download https://fikper.com/24o5woIRGd/frfki.45Day.Raspberry.Pi.Bootcamp.part16.rar.html https://fikper.com/5RyxHmpWQ0/frfki.45Day.Raspberry.Pi.Bootcamp.part12.rar.html https://fikper.com/7OxydmAr4e/frfki.45Day.Raspberry.Pi.Bootcamp.part03.rar.html https://fikper.com/De1Oi07fYj/frfki.45Day.Raspberry.Pi.Bootcamp.part11.rar.html https://fikper.com/DgekcxwwHW/frfki.45Day.Raspberry.Pi.Bootcamp.part07.rar.html https://fikper.com/DvTsGUNzmm/frfki.45Day.Raspberry.Pi.Bootcamp.part14.rar.html https://fikper.com/EoDZqyS6TA/frfki.45Day.Raspberry.Pi.Bootcamp.part04.rar.html https://fikper.com/KOvcEcBcmI/frfki.45Day.Raspberry.Pi.Bootcamp.part01.rar.html https://fikper.com/RoMnEjXOJ2/frfki.45Day.Raspberry.Pi.Bootcamp.part10.rar.html https://fikper.com/jlLrtxLH0m/frfki.45Day.Raspberry.Pi.Bootcamp.part15.rar.html https://fikper.com/nppKoJwZ9d/frfki.45Day.Raspberry.Pi.Bootcamp.part02.rar.html https://fikper.com/p96aEArF5D/frfki.45Day.Raspberry.Pi.Bootcamp.part08.rar.html https://fikper.com/qgtLGEbNG0/frfki.45Day.Raspberry.Pi.Bootcamp.part13.rar.html https://fikper.com/ri12RJNaqK/frfki.45Day.Raspberry.Pi.Bootcamp.part09.rar.html https://fikper.com/wO8kqe3sHq/frfki.45Day.Raspberry.Pi.Bootcamp.part06.rar.html https://fikper.com/zdrjYqPljK/frfki.45Day.Raspberry.Pi.Bootcamp.part05.rar.html No Password - Links are Interchangeable

Free Download The Complete Sql Bootcamp A Step-By-Step Approach Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 660.91 MB | Duration: 2h 45m Master SQL What you'll learn Generate reports and address business challenges Write Complex Queries Using Common Table Expressions (CTEs) Lean about GROUP by clause Master SQL Joins and Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Master SQL for Data Analytics and Business Intelligence Master SQL for Data Migration and Data Manipulation Create Database Objects Requirements No SQL experience is required, and you will learn all that you need. Description Brief Introduction:The Complete SQL Bootcamp is a hands-on course designed to take you from the basics to a professional level. This comprehensive course will explore the principles of relational databases and the robust SQL programming language. It will equip developers with vital SQL skills to write queries for single and multiple tables, manipulate data within those tables, and create database objects.Course Overview:This step-by-step SQL course is designed to improve your SQL skills and is ideal for students who want to become proficient in SQL. Led by an experienced SQL Developer Instructor, this course offers a well-organized and engaging learning experience for those who want to master SQL.Learning Objectives:By the end of the course, you will learn how to:Retrieve Data using basic SQL SELECT StatementsRestrict and Sort DataUse Aggregate FunctionsApply Conditional ExpressionsGenerate Reports with Aggregated Data Using Group FunctionsDisplay Data from Multiple Tables Using JoinsUtilize Window FunctionsWork with Common Table Expressions (CTEs) using the WITH clauseManage Data using Subqueries and Advanced QueriesManage Tables using DML StatementsCreate Sequences, Synonyms, Indexes, Views, and Schema ObjectsWho is this course for?This course is designed for learners at all levels, from beginners looking for a solid foundation to SQL professionals striving for mastery. No prior knowledge is necessary. It is suitable for users of any database, including Oracle, MySQL, Microsoft SQL Server, Amazon Redshift, and MySQL. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Database Server Lecture 3 Installing PostgreSQL on Windows Lecture 4 Installing PostgreSQL on MacOS Lecture 5 Entity Relationship Model Lecture 6 Data Modelling and Design Lecture 7 pgAdmin Introduction Section 2: Basic Select Statement Lecture 8 Basic Select Statement Lecture 9 Literal(character, String) Lecture 10 Literal(constant) Lecture 11 Non-numeric Literals Lecture 12 Numeric Literals Lecture 13 Arithmetic Expression Operators Lecture 14 Mathematical Operator Precedence Lecture 15 Using aliases Lecture 16 Escape character sequence Lecture 17 Concatenation Operator Lecture 18 Comments Within SQL Statements code Section 3: Data Types Lecture 19 Data Types Lecture 20 Cast Function(CAST()) and cast operator(::) Lecture 21 Numeric Data Types Lecture 22 Character Data Types Lecture 23 Date Time Data Types Lecture 24 Boolean Data Type Section 4: Selecting from a table Lecture 25 SELECTING columns or expressions FROM a table Lecture 26 Selecting All Columns Lecture 27 Selecting Specific Columns or Expressions Lecture 28 Using Column Aliases Lecture 29 Eliminating duplicate rows Lecture 30 SELECT from a generated (VALUES Lists) Section 5: WHERE clause and ORDER BY clause Lecture 31 Using WHERE Clause Lecture 32 Comparison Operators Lecture 33 Match any Range search condition([NOT] BETWEEN ) Lecture 34 Match any of a list of values ([NOT] IN ) Lecture 35 Pattern match search condition ([NOT] LIKE ) Lecture 36 Using ( IS[NOT] NULL ) Conditions Lecture 37 Using the AND Operator Lecture 38 Using the OR Operator Lecture 39 Rules of Precedence(Order of operation ) Lecture 40 ORDER BY clause Lecture 41 OFFSET Lecture 42 FETCH Lecture 43 LIMIT Lecture 44 OFFSET and FETCH Lecture 45 OFFSET and LIMIT Section 6: Functions and Operators Lecture 46 Functions and Operators Lecture 47 String functions and Operators (String Concatenation) Lecture 48 String functions(Case Conversion) Lecture 49 Show part of a string(LEFT,RIGHT, SUBSTR) Lecture 50 Remove from a String(TRIM,LTRIM,RTRIM) Lecture 51 Add and Replace characters in a String(LPAD, RPAD, REPLACE) Lecture 52 Length of string(LENGTH) Lecture 53 Using MODULUS Function Lecture 54 Using CEILING and FLOOR Function Lecture 55 Using ROUND and TRUNCATE Function Lecture 56 (Date , Time Functions) Section 7: Regular Expression Lecture 57 Introduction Lecture 58 POSIX Regular Expressions Lecture 59 Regular Expression Atoms Lecture 60 Literal Characters Lecture 61 Dot : . Lecture 62 Regular Expression Constraints (also called Anchors): ^, $ Lecture 63 Regular Expression Quantifiers: { } Lecture 64 Bracket Expressions (Character classes):[ ] Lecture 65 Escaping characters: \ Lecture 66 Groups(Parentheses): ( ) Lecture 67 Alternatives: Lecture 68 REGEXP_COUNT Lecture 69 REGEXP_INSTR Lecture 70 REGEXP_LIKE Lecture 71 REGEXP_REPLACE Lecture 72 REGEXP_SUBSTR Section 8: Conditional Expressions Lecture 73 Conditional Expressions Lecture 74 CASE Statement Lecture 75 NULLIF Lecture 76 COALESCE Lecture 77 LEAST and GREATEST Section 9: GROUP BY and HAVING Clauses Lecture 78 Aggregate Functions Lecture 79 Using Aggregate Functions on the entire column data set Lecture 80 Using Aggregate Functions with WHERE clause Lecture 81 COUNT Aggregate Function Lecture 82 Handling Null values in Aggregate Functions Lecture 83 GROUP BY Clause Lecture 84 GROUP BY Clause(Grouping by Multiple Columns) Lecture 85 HAVING Clause (Filter Groups using Aggregated column) Section 10: Generating Reports with (CUBE, ROLLUP, GROUPING SET) Lecture 86 Generating Reports by Grouping Related Data_ Lecture 87 ROLLUP Lecture 88 CUBE Lecture 89 GROUPING Lecture 90 GROUPING SETS Section 11: Joins Lecture 91 Joining Multiple Tables Lecture 92 Table aliases Lecture 93 Types of JOINS Lecture 94 INNER JOIN(ON clause, USING clause) Lecture 95 LEFT OUTER JOIN(ON clause) Lecture 96 RIGHT OUTER JOIN(ON clause) Lecture 97 FULL OUTER JOIN(ON clause) Lecture 98 CROSS JOIN Section 12: Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Lecture 99 Windowing Lecture 100 Windowing calculations(aggregate function) Lecture 101 Window Functions Lecture 102 Window Function OVER(ORDER BY order_list ) clause Lecture 103 Window Function OVER(PARTITION BY ORDER BY ) clause Lecture 104 Window Function OVER() without "window_definition" Lecture 105 Window Function OVER(PARTITION BY ) clause Lecture 106 WINDOW clause Section 13: Common Table Expressions (WITH Clause) Lecture 107 Using WITH Clause( split complicated queries into smaller parts) Lecture 108 Purpose and Benefits of the WITH Clause Lecture 109 Multiple Common Table Expressions (CTEs) Section 14: Subqueries Lecture 110 SUBQUERY Lecture 111 Scalar subquery Lecture 112 Row subquery Lecture 113 Subquery Expressions Lecture 114 Multi-Row Subquery (IN, SOME/ANY, ALL) Lecture 115 Multi-Row Subquery ([NOT] IN) Lecture 116 Multi-Row Subquery ( ANY/SOME) Lecture 117 Table subquery(Inline View) Lecture 118 Multi-Row Subquery ( ALL) Lecture 119 Correlated Subquery Lecture 120[NOT] EXISTS Subquery Expressions Section 15: Set Operators(UNION, INTERSECT, EXCEPT) Lecture 121 Introduction Lecture 122 UNION[ ALL] Lecture 123 INTERSECT[ ALL ] Lecture 124 EXCEPT Section 16: Data Definition(Table) Lecture 125 Data definition language (DDL) Lecture 126 CREATE DATABASE Lecture 127 CREATE TABLE Lecture 128 CREATE TABLE with AS keyword Lecture 129 ALTER TABLE (ADD Column) Lecture 130 ALTER TABLE(DROP COLUMN) Lecture 131 ALTER ADD (Primary key ) Lecture 132 ALTER TABLE(ADD foreign key) Lecture 133 RENAME TABLE Lecture 134 RENAME Column Lecture 135 RENAME Constraint Lecture 136 Comment on a TABLE Lecture 137 ALTER TABLE(DROP COLUMN) Lecture 138 Remove TABLE comment Lecture 139 RENAME Column Lecture 140 TRUNCATE Lecture 141 DROP Section 17: Constraints Lecture 142 Check Constraint (column constraint, explicit constraint name ) Lecture 143 Check Constraint (column constraint, implicit constraint name ) Lecture 144 Check Constraint (table constraint, implicit constraint name ) Lecture 145 Check Constraint (table constraint, implicit constraint name ) Lecture 146 Not-Null Constraints (column constraint explicit) Lecture 147 Unique Constraints (column constraint, explicit constraint name ) Lecture 148 Unique Constraints (column constraint, implicit constraint name ) Lecture 149 Unique Constraints (table constraint, explicit constraint name ) Lecture 150 Unique Constraints (table constraint, implicit constraint name ) Lecture 151 Primary Keys (column constraint, implicit constraint name ) Lecture 152 Primary Keys (table constraint, implicit constraint name ) Lecture 153 Foreign Keys (table constraint, explicit constraint name ) Lecture 154 Foreign Keys (table constraint, implicit constraint name ) Lecture 155 Default (column constraint only ) Lecture 156 Clean-up Section 18: Data Manipulation Lecture 157 Data manipulation language (DML) Lecture 158 SELECT Lecture 159 INSERT Lecture 160 Basic INSERT using literal, expression, and DEFAULT method 1(column name Lecture 161 Basic INSERT using literal, expression, and DEFAULT method 2(values) Lecture 162 INSERT using query Lecture 163 INSERT Lecture 164 UPDATE Lecture 165 UPDATE specific values Lecture 166 UPDATE all values in column Lecture 167 UPDATE multiple columns Lecture 168 DELETE Lecture 169 Delete all rows Lecture 170 MERGE Lecture 171 Delete specific rows Lecture 172 Clean-up Section 19: Transaction Control Lecture 173 Disable auto-commit in pgAdmin4 37 Lecture 174 COMMIT Lecture 175 ROLLBACK Lecture 176 SAVEPOINT Section 20: Data Definition(Sequences) Lecture 177 CREATE SEQUENCE Lecture 178 Sequence Functions Lecture 179 NEXTVAL Lecture 180 CURRVAL Lecture 181 ALTER Sequence Lecture 182 RENAME a Sequence Lecture 183 COMMENT on Sequence Lecture 184 DROP sequence Section 21: Data Definition(Views) Lecture 185 Create a View Lecture 186 SELECT from a View Lecture 187 (OR REPLACE) keyword Lecture 188 ALTER VIEW Lecture 189 RENAME a View Lecture 190 COMMENT Lecture 191 Drop a View Lecture 192 Cleanup Section 22: Data Definition(Users, Roles) and Privileges Lecture 193 CREATE USER Lecture 194 CREATE ROLE Lecture 195 Data Control Language (DCL) Lecture 196 GRANT specific privileges to a role Lecture 197 GRANT ALL PRIVILEGES to a role Lecture 198 GRANT specific privileges to a user Lecture 199 GRANT(add members on the existing role) Lecture 200 REVOKE specific privileges from a role Lecture 201 REVOKE ALL PRIVILEGES from a role Lecture 202 REVOKE (remove members on the existing role) Lecture 203 DROP USERS Lecture 204 DROP ROLES) Managers,Data Analytics and Business Intelligence,Data Scientists and Data Engineers,Data Migrations Specialist,Other Database Users Homepage https://www.udemy.com/course/the-complete-sql-bootcamp-a-step-by-step-approach/ Rapidgator https://rg.to/file/05694aa171bc8b12a235297d803e0a0a/ehpwf.The.Complete.Sql.Bootcamp.A.StepByStep.Approach.rar.html Fikper Free Download https://fikper.com/VdSowZuobe/ehpwf.The.Complete.Sql.Bootcamp.A.StepByStep.Approach.rar.html No Password - Links are Interchangeable

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Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. This course is designed for beginners and those with little to no programming experience who want to build a strong foundation in Python and gain an introductory understanding of AI. Throughout this course, you will Learn Python from Scratch : Start with the basics of Python programming, including variables, data types, control flow, functions, and modules. You'll build your coding skills step by step, working on real-world projects and examples. Explore Advanced Python Concepts : As you progress, you'll dive into more advanced topics such as object-oriented programming (OOP), file handling, and data manipulation. These skills will prepare you for more complex coding challenges. Introduction to AI and Machine Learning : Transition from Python programming to understanding the fundamentals of AI and Machine Learning. Learn key concepts like supervised and unsupervised learning, and discover how AI is applied in various industries. 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Free Download Penetration Testing Bootcamp Beginner To Advanced Hacker Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.20 GB | Duration: 4h 28m "A Step-by-Step Guide to Mastering Offensive Security Skills" What you'll learn Linux server and services configuration Learn CTF Lab Hacking BurpSuite OWASP top 10 in Depth Requirements Basic Ethical Hacking Linux Basic knowledged Networking Basic knowledged Description Welcome to Penetration Testing Bootcamp: Beginner to Advanced Hacker here you are going ti learn Burp Suite, OWASP Top 10, and CTF Mastery, a comprehensive course designed by Vishal Waghmare to help you become proficient in web security, penetration testing, and mastering Capture the Flag (CTF) challenges. Whether you are a beginner or an aspiring cybersecurity professional, this course will equip you with the skills to identify, exploit, and mitigate vulnerabilities in web applications using industry-standard tools and techniques.What You Will Learn:Introduction to Burp Suite: Master the fundamentals of Burp Suite, one of the most powerful tools for web application security testing. Learn how to configure and use it efficiently for scanning, analyzing, and exploiting vulnerabilities.OWASP Top 10 Explained: Gain a deep understanding of the most critical web application security risks. Learn how to identify and prevent these vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), Broken Authentication, Security Misconfigurations, and more.Hands-on CTF Challenges: Apply your knowledge in practical, real-world scenarios with Capture the Flag challenges. Strengthen your problem-solving and hacking skills by exploiting vulnerabilities in simulated web environments.Practical Exploitation Techniques: Learn how to exploit vulnerabilities step-by-step and understand how attackers think. Develop your ability to test and secure applications against attacks.Reporting and Mitigation: Understand how to document vulnerabilities and remediation strategies effectively. Learn how to communicate findings in a professional penetration testing report.Key Features:Hands-On Labs: Get access to real-world scenarios with interactive labs and CTF challenges that allow you to practice and improve your web security skills.Structured Learning Path: Progress from the basics of Burp Suite and OWASP Top 10 to advanced penetration testing techniques.CTF Competitions: Parti[beeep]te in Capture the Flag exercises to simulate real-world hacking scenarios.Lifetime Access & Community Support: Join an active community of learners and cybersecurity enthusiasts to enhance your learning experience.Who Is This Course For?Beginners who want to get started with web application security.Ethical Hackers & Penetration Testers looking to improve their web vulnerability assessment and exploitation skills.CTF Enthusiasts eager to sharpen their skills in cybersecurity competitions.Developers who want to secure their applications by understanding security risks and mitigation strategies.By the end of this course, you'll have a strong foundation in Burp Suite, a deep understanding of the OWASP Top 10, and the confidence to tackle CTF challenges like a pro. 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Free Download Level 1 CFA® Exam Prep Bootcamp (Part 1/2) Last updated 6/2024 Created by 365 Careers,Ivan Kitov, CFA MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 373 Lectures ( 26h 3m ) | Size: 5.6 GB Level 1 CFA® Bootcamp: Ethics, Quantiative Methods, Corporate Finance, Economics, and Alternative Investments What you'll learn Prepare for the CFA® Level 1 exam Earn one of the most prestigious designations in finance and investment management Acquire a solid understanding of key business and finance disciplines Impress interviewers by showing a strong an understanding of finance fundamentals and advanced topics concepts Study Ethics, Quantitative Methods (Statistics and Probability), Corporate Finance, Economics, and Alternative Investments Understand the Global Investment Performance Standards (GIPS) Learn about the time value of money, discounted cash flow applications, statistical concepts and market returns, probability and probability distributions, sampling and estimation, hypothesis testing, and technical analysis Acquire an understanding of corporate governance, capital budgeting, cost of capital, measures of leverage, and working capital management Gain an understanding of fundamental topics like demand and supply, firm and market structure, economic growth, business cycles, monetary trade and capital flows, and currency exchange rates Requirements No prior experience is required. We will start from the very basics Description We will help you prepare for the CFA® Level 1 Exam.A record number of candidates registers to take the CFA® exams. Pursuing the credential is a rigorous process, which requires a lot of time and effort. And yet, many people around the world sign up for the CFA® exams. The reason is that a CFA® designation can move your resume to the top of the pile in a competitive job market.We are proud to present to you a training bootcamp created by 365's team that aims to prepare you for the CFA® Level 1 exam provided by CFA Institute.The five topics we will cover here are:· Ethical and Professional Standards· Portfolio Management· Economics· Corporate Finance· Alternative InvestmentsThis Bootcamp has been designed as a supplement to the official study materials provided by the CFA Institute and should not be seen as a substitute for their materials. Our goal is to make your life a bit easier. The lessons we have prepared are consistent with the current CFA® Level 1 curriculum and exam structure (and will continue to be updated to ensure consistency over time). We cover all Learning Outcome Statements (LOS), and we have dedicated a separate video to each LOS. This ensures that together we will study the concepts that are likely to be tested on the exam.Why take our Bootcamp?· A successful track record on Udemy - over 3,000,000 students have enrolled in our courses· Experienced team - the authors of this course are finance professionals who have acquired significant practical experience (they have worked for companies like HSBC, Morgan Stanley, PwC, Coca Cola, etc.)· Carefully scripted and animated tutorials with plenty of real-world examples· A variety of practice questions at the end of each Reading to test your progress· Extensive case studies that will help you reinforce what you have learned· Excellent support: If you don't understand a concept or you simply want to drop us a line, you'll receive an answer within one or two business days· Dynamic: We don't want to waste your time! The instructors keep up a very good pace throughout the whole course.We will cover a wide variety of topics, including:EthicsEthics and trust in the investment profession, Code of Ethics and Standards of Professional Conduct, the Global Investment Performance Standards (GIPS)Quantitative MethodsThe time value of money, Discounted cash flow applications, Statistical concepts and market returns, Probability concepts, Common probability distributions, Sampling and estimation, Hypothesis testing, Technical analysisCorporate FinanceCorporate governance, Capital budgeting, Cost of capital, Measures of leverage, Working capital managementEconomicsDemand and supply analysis, The firm and market structures, Aggregate output and economic growth, Understanding business cycles, Monetary and fiscal policy, International trade and capital flows, Currency exchange ratesAlternative InvestmentsCategories of alternative investments, Potential benefits of alternative investments, Issues in valuing and calculating returns on alternative investmentsEach of these topics builds on the previous ones. And this is one of the considerable benefits you will gain by taking our Bootcamp. You will acquire valuable theoretical and practical skills that are necessary for a successful career in the world of investment management, investment banking, and corporate finance.Moreover, our focus is to teach topics that flow smoothly and complement each other. The course covers exam concepts at a fraction of the cost of traditional programs (not to mention the amount of time you will save).We are happy to offer an unconditional 30-day money-back guaranteein full. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the "Buy Now" button and become a part of our program today.*CFA Institute does not endorse, promote, review or warrant the accuracy or quality of the products or services offered by 365 Careers or Udemy. 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Free Download Hands On Python Data Science - Data Science Bootcamp Published 10/2024 Created by Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 40m ) | Size: 1.55 GB Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning What you'll learn A strong foundation in Python programming concepts, including variables, data types, control flow, and functions. Effective use of various data structures, such as lists, tuples, dictionaries, and sets. Proficiency in the NumPy library for efficient numerical computations and array manipulation. Skillful application of the Pandas library for data cleaning, filtering, grouping, and aggregation. Exposure to fundamental machine learning concepts and algorithms using Scikit-learn. Requirements No experience required Description This comprehensive course is designed for both beginners and those looking to sharpen their data science skills. Through a step-by-step approach, you'll learn to harness Python's powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn, enabling you to analyze, visualize, and draw insights from data like a pro.What You'll Learn:Python Fundamentals for Data Science: Master the essentials of Python programming and understand how to apply them in data science.Data Analysis & Manipulation: Explore how to clean, filter, and manipulate large datasets using Pandas and NumPy.Data Visualization: Create stunning visualizations using Matplotlib and Seaborn to communicate insights effectively.Machine Learning Made Easy: Dive into key algorithms such as regression, classification, and clustering using Scikit-Learn, and apply them to real-world projects.Real-World Projects: Work on hands-on projects, including data analysis and predictive modeling, that will give you a portfolio to showcase your skills.Why Enroll in This Course?Hands-On Learning: Get practical experience with coding exercises, quizzes, and real-world projects.Industry-Relevant Skills: Acquire the tools and techniques used by top data scientists in the industry.Guided Support: Learn with easy-to-follow lessons, and get answers to your questions through interactive Q&A.Lifetime Access: Revisit lessons anytime, anywhere, and continue your learning journey at your own pace.Whether you're an aspiring data scientist, analyst, or someone looking to make data-driven decisions, this bootcamp is your gateway to a successful data science career. Enroll now and transform raw data into actionable insights! Who this course is for Individuals with no prior programming experience but a desire to learn data science. Homepage https://www.udemy.com/course/hands-on-python-data-science-data-science-bootcamp/ Screenshot Rapidgator https://rg.to/file/1d480f79a95ea852a6eacc8989996888/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://rg.to/file/c00f05967df0abd13890e035747c46fc/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html Fikper Free Download https://fikper.com/SWX9aLTkSJ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://fikper.com/qxDzGCIqhQ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Game Development Bootcamp 3D Games With Unity Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.45 GB | Duration: 4h 42m Master Creating 2D and 3D Games with Unity from Scratch What you'll learn Set up Unity projects with proper folder structure and asset management. Navigate Unity's windows, asset store, and package manager effectively. Create player controller scripts to handle player movement and animations. Implement rigidbody-based movement and jumping mechanics. Requirements A computer capable of running Unity. Description This course offers a complete introduction to Unity game development, guiding you through building both 2D and 3D games from scratch. You'll start by setting up Unity with the proper folder structure and asset management techniques. We'll explore Unity's windows, asset store, and package manager to help you access essential tools and assets quickly.Through practical exercises, you'll learn how to create player controllers, implement rigidbody-based movement, and add animations. You'll also use prefabs to streamline your game elements and build a camera-follow script to enhance gameplay. In addition, we'll dive into tilemaps for level creation and fix collider issues, ensuring smooth player interactions.The course also covers creating start menus, pause menus, and game-over UIs to give your game a professional touch. Finally, you'll explore 3D mechanics by designing player controllers for 3D space, rotating players, and creating Game and Player Manager scripts. You'll also add weapons for interactive gameplay elements.By the end of the course, you'll have the skills and confidence to create, build, and deploy your own Unity projects across platforms. Start your game development journey today, unlock the potential to create engaging games, and turn your ideas into reality! Go from a beginner to developer today. Overview Section 1: Introduction Lecture 1 Setup Lecture 2 Folder Structure Lecture 3 Unity Main Windows Lecture 4 Unity Asset Store and Package Manager Section 2: Module 1 Lecture 5 Overview of game elements Lecture 6 Create a Player controller script Lecture 7 Move Player Using (Rigidbody) Lecture 8 Player Jumping Lecture 9 Creating animations Lecture 10 Add Animations to player Lecture 11 Introduction about Prefabs Lecture 12 Camera Follow script Lecture 13 Token prefab creation Lecture 14 Tilemaps in unity Lecture 15 Create a level Lecture 16 Tilemap collider Fix Lecture 17 Create Dead Zones Lecture 18 Create Level Complete Zone Lecture 19 Create start menu Lecture 20 Create in- game menu Lecture 21 Create Pause, Game Over UI Lecture 22 Learn to create build Section 3: Module 2 Lecture 23 Intro to 3D Lecture 24 Create Player for 3d space & Player controller Lecture 25 Player Rotate Lecture 26 Create Player Manager script Lecture 27 Create Game Manager Lecture 28 Create Weapons Lecture 29 Create LMG and Weapon switching Beginners interested in game development using Unity.,Indie developers looking to build both 2D and 3D games. Screenshot Homepage https://www.udemy.com/course/game-development-bootcamp-3d-games-with-unity/ Rapidgator https://rg.to/file/742267f4f47f759b29b90498796e2889/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://rg.to/file/882af4169c8a3bc6d30116747bffc4c7/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://rg.to/file/8e35e7f578c69e9dd2177a9816272ce8/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html https://rg.to/file/d2dd98cc492b8c85bf1acc175465d05b/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html Fikper Free Download https://fikper.com/22kMwhd8yN/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://fikper.com/aEWLiwiXGh/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html https://fikper.com/efEpHU0Zkw/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://fikper.com/kpsRTHeU8p/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html No Password - Links are Interchangeable

Free Download Data Structures and Algorithms Simplified Bootcamp Published 10/2024 Created by Bonaventure Ogeto MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms What you'll learn Understand and implement common data structures like arrays, linked lists, stacks, and queues. Learn various searching and sorting algorithms, including linear search, binary search, and quicksort. Apply key concepts of algorithms to solve real-world problems efficiently. Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges. Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems. Requirements No prior experience in data structures and algorithms is required. This course is beginner-friendly. Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory. A computer and internet connection to follow along with coding exercises and quizzes. Willingness to solve problems and practice consistently Description Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learn:Data Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time. Who this course is for Beginners in programming who want to build a strong foundation in data structures and algorithms. Developers preparing for coding interviews or technical assessments for software engineering roles. Students or professionals who want a refresher in data structures and algorithms for career advancement. Anyone interested in improving problem-solving skills and optimizing code performance. Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems. Homepage https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/ Screenshot Rapidgator https://rg.to/file/0f24898ba0c5c6f82a13dc2374e26428/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html https://rg.to/file/3facc7c3a3db3c0a8fe1a012ad1e7b50/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://rg.to/file/65b8c4632f45dc3524edc447face38a1/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/MzVeEyrvPt/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://fikper.com/czR6nDnSVx/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html https://fikper.com/tyA7XPqzMg/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Complete Mlops Bootcamp With 10+ End To End Ml Projects Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 50.09 GB | Duration: 47h 39m End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects What you'll learn Build scalable MLOps pipelines with Git, Docker, and CI/CD integration. Implement MLFlow and DVC for model versioning and experiment tracking. Deploy end-to-end ML models with AWS SageMaker and Huggingface. Automate ETL pipelines and ML workflows using Apache Airflow and Astro. Monitor ML systems using Grafana and PostgreSQL for real-time insights. Requirements Basic understanding of Python programming. Familiarity with machine learning concepts and algorithms. Basic knowledge of Git and GitHub for version control. Understanding of Docker for containerization (optional but helpful). Awareness of cloud computing concepts (AWS preferred, but not mandatory). Description Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.In today's world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management.This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments.What You'll Learn:Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.DagsHub for Collaborative MLOps: Utilize DagsHub for integrated tracking of your code, data, and ML experiments using Git and DVC.Apache Airflow with Astro: Automate and orchestrate your ML workflows using Airflow with Astronomer, ensuring your pipelines run seamlessly.CI/CD Pipeline with GitHub Actions: Implement a continuous integration/continuous deployment (CI/CD) pipeline to automate testing, model deployment, and updates.ETL Pipeline Implementation: Build and deploy complete ETL (Extract, Transform, Load) pipelines using Apache Airflow, integrating data sources for machine learning models.End-to-End Machine Learning Project: Walk through a full ML project from data collection to deployment, ensuring you understand how to apply MLOps in practice.End-to-End NLP Project with Huggingface: Work on a real-world NLP project, learning how to deploy and monitor transformer models using Huggingface tools.AWS SageMaker for ML Deployment: Learn how to deploy, scale, and monitor your models on AWS SageMaker, integrating seamlessly with other AWS services.Gen AI with AWS Cloud: Explore Generative AI techniques and learn how to deploy these models using AWS cloud infrastructure.Monitoring with Grafana & PostgreSQL: Monitor the performance of your models and pipelines using Grafana dashboards connected to PostgreSQL for real-time insights.Who is this Course For?Data Scientists and Machine Learning Engineers aiming to scale their ML models and automate deployments.DevOps professionals looking to integrate machine learning pipelines into production environments.Software Engineers transitioning into the MLOps domain.IT professionals interested in end-to-end deployment of machine learning models with real-world data science projects.Why Enroll?By enrolling in this course, you will gain hands-on experience with cutting-edge tools and techniques used in the industry today. Whether you're a data science professional or a beginner looking to expand your skill set, this course will guide you through real-world projects, ensuring you gain the practical knowledge needed to implement MLOps workflows successfully.Enroll now and take your data science skills to the next level with MLOps! Overview Section 1: Introduction Lecture 1 Introduction Section 2: IDE's And Code Editors You Can Use Lecture 2 Getting Started With Google Colab Lecture 3 Getting Started With Github Codespace Lecture 4 Anaconda And VS Code Installation Section 3: Python Prerequisites Lecture 5 Getting Started With VS Code And Environment Lecture 6 Python Basics-Syntax and Semantics Lecture 7 Variables In Python Lecture 8 Basics Data Types Lecture 9 Operators In Python Lecture 10 Conditional Statements In Python Lecture 11 Loops In Python Lecture 12 Practical Examples Of List Lecture 13 Sets In Python Lecture 14 Tuples In Python Lecture 15 Dictionaries In Python Lecture 16 Functions In Python Lecture 17 Python Function Examples Lecture 18 Lambda Functions In Python Lecture 19 Map functions In Python Lecture 20 Python Filter Function Lecture 21 Import Modules And Packages In Python Lecture 22 Standard Library Overview Lecture 23 File Operation In Python Lecture 24 Working With File Paths Lecture 25 Exception Handling In Python Lecture 26 OOPS In Python Lecture 27 Inheritance In Python Lecture 28 Polymorphism In Python Lecture 29 Encapsulation In Python Lecture 30 Abstraction In Python Lecture 31 Magic Methods In Python Lecture 32 Custom Exception In Python Lecture 33 Operator OverLoading In Python Lecture 34 Iterators In Python Lecture 35 Generators In Python Lecture 36 Decorators In Python Lecture 37 Working With Numpy In Python Lecture 38 Pandas DataFrame And Series Lecture 39 Data Manipulation And Analysis Lecture 40 Data Source Reading Lecture 41 Logging In Python Lecture 42 Logging With Multiple Loggers Lecture 43 Logging In a Real World Examples Section 4: Complete Flask Tutorial Lecture 44 Introduction To Flask Framework Lecture 45 Understanding A Sample Flask Application Lecture 46 Integrating HTML With Flask Framework Lecture 47 HTTP Verbs Get And Post Lecture 48 Building Dynamic Url With Jinja 2 Lecture 49 Put Delete And API's In Flask Section 5: Git and Github Lecture 50 Getting Started With Git And Github Lecture 51 Part 2- Git Merge,Push, Checkout And Log With Commands Lecture 52 Part 3- Resolving Git Branch Merge Conflict Section 6: Complete MLFLOW Tutorials Lecture 53 Introduction To MLFLOW Lecture 54 Getting Started With MLFLOW Lecture 55 Creating MLFLOW Environment Lecture 56 Getting Started With MLFLow Tracking Server Lecture 57 Deep Diving Into MLFlow Experiments Lecture 58 Getting Started With MLFlow ML Project Lecture 59 First ML Project With MLFLOW Lecture 60 Inferencing Model Artifacts With MLFlow Inferencing Lecture 61 MLFLOW Model Registry Tracking Section 7: ML Project Integration With MLFLOW Tracking Lecture 62 Data Preparation House Price Prediction Lecture 63 Model Building And MLFLOW Tracking Section 8: Deep Learning ANN Model Building Integration With MLFLOW Lecture 64 ANN With MLFLOW- Part 1 Lecture 65 ANN with MLFLOW-Part 2 Section 9: Getting Started With DVC- Data Version Control Lecture 66 Introduction To DVC With Practical Implementation Section 10: Getting Started With Dagshub Lecture 67 Introduction To Dagshub Remote Repository Lecture 68 Creating First Remote Repo Using Dagshub Lecture 69 DVC With Dagshub Remote Repository Section 11: End To End Machine Learning Pipeline Using GIT, DVC,MLFLOW And DAGSHUB Lecture 70 Getting Started With Project Structure Lecture 71 Implemeting Data Preprocessing Pipeline Lecture 72 Implementing Model Training Pipeline with MLFLOW Setup Lecture 73 MLFLOW Experiment Tracking In Dagshub Lecture 74 ML Evaluation Piepline With MLFLOW Lecture 75 Run The Complete Pipeline With DVC Stage And Repro Section 12: MLFLOW With AWS Cloud Lecture 76 Introduction To MLFLOW In AWS Lecture 77 MLFLOW Project Set Up With Installation Lecture 78 Implementing The End To End Project With MLFLOW Lecture 79 AWS Cloud EC2,IAM,S3 Bucket Set Up Lecture 80 AWS EC2 Instance- Setting MLFLOW Tracking Server Section 13: Complete Basic To Advance Dockers Lecture 81 Introduction To Docker Series Lecture 82 What are Dockers And Containers Lecture 83 Docker Images vs Containers Lecture 84 Dockers vs Virtual Machines Lecture 85 Dockers Installation Lecture 86 Creating A Docker Image Lecture 87 Docker Basic Commands Lecture 88 Push Docker Image To Docker Hub Lecture 89 Docker Compose Section 14: Getting Started With Airflow Lecture 90 Introduction To Apache Airflow Lecture 91 Key Components Of Apache Airflow Lecture 92 Why Airflow For MLOPS Lecture 93 Setting Up Airflow With Astro Lecture 94 Building Your First DAG With Airflow Lecture 95 Designing Mathematical Calculation DAG With Airflow Lecture 96 Getting Started With TaskFlow API Using Apache Airflow Section 15: Airflow ETL Pipeline with Postgres and API Integration In ASTRO Cloud And AWS Lecture 97 Introduction To ETL Pipeline Lecture 98 ETL Problem Statement And Project Structure Set Up Lecture 99 Defining ETL DAG With Implementing Steps Lecture 100 Step 1- Setting Up Postgres And Creating Table Task In Postgres Lecture 101 Step 2- NASA API Integration With Extract Pipeline Lecture 102 Step 3- Building Transformation And Load Pipeline Lecture 103 ETL Pipeline Final Implementation With AirFlow Connection Set Up Lecture 104 ETL Pipeline Deployment In Astro Cloud And AWS Section 16: Introduction To Github Actions Lecture 105 What is Github Action and CI CD Pipeline Lecture 106 What is Developers Workflow With Examples Lecture 107 Practicals-Automate Testing Workflow With Python Section 17: End To End Github Action Workflow Project With Dockerhub Lecture 108 Github Action Workflow Project with Docker hub Lecture 109 Setting Project Structure With Github Repo Lecture 110 Setting Up Github Repository Lecture 111 Implementing Project With Flask And Dockers Lecture 112 Building the Yaml file for Dockers Section 18: Getting Started With Your First End To End Data Science Project With Deployment Lecture 113 Project Structure, Github Repo And Environment Set Up Lecture 114 Custom Logging Implementation Lecture 115 Common Utilities Functions Implementation Lecture 116 Step By Step Building Data Ingestion Pipeline- Part 1 Lecture 117 Data Ingestion Pipeline-Part 2 Lecture 118 Complete Data Validation Pipeline Implementation Lecture 119 Complete Data Transformation Pipeline Implementation Lecture 120 Model Trainer Pipeline Implementation Lecture 121 Model Evaluation Pipeline Implementation Lecture 122 Training And Prediction Pipeline With Flask App Section 19: End To End MLOPS Projects With ETL Pipelines- Building Network Security System Lecture 123 Project Structure Set up With Environment Lecture 124 Github Repository Set Up With VS Code Lecture 125 Packaging the Project With Setup.py Lecture 126 Logging And Exception Handling Implementation Lecture 127 Introduction To ETL Pipelines Lecture 128 Setting Up MongoDb Atlas Lecture 129 ETL Pipeline Setup With Python Lecture 130 Data Ingestion Architecture Lecture 131 Implementing Data Ingestion Configuration Lecture 132 Implementing Data Ingestions Component Lecture 133 Implementing Data Validation-Part 1 Lecture 134 Implementing Data Validation- Part 2 Lecture 135 Data Transformation Architecture Lecture 136 Data Transformation Implementation Lecture 137 Model Trainer-Part 1 Lecture 138 Model Trainer And Evaluation With Hyperparameter Tuning Lecture 139 Model Experiment Tracker With MLFlow Lecture 140 MLFLOW Experiment Tracking With Remote Respository Dagshub Lecture 141 Model Pusher Implementation Lecture 142 Model Training Pipeline Implementation Lecture 143 Batch Prediction Pipeline Implementation Lecture 144 Final Model And Artifacts Pusher To AWS S3 buckets Lecture 145 Building Docker Image And Github Actions Lecture 146 Github Action-Docker Image Push to AWS ECR Repo Implementation Lecture 147 Final Deployment To EC2 instance Section 20: End To End DS Project Implementation With Mulitple AWS,Azure Deployment Lecture 148 Github And Code Setup Lecture 149 Project structure Logging And Exception Lecture 150 Project Problem Statement EDA And Model Training Lecture 151 Data Ingestion Implementation Lecture 152 Data Transformation Implementation Lecture 153 Model Trainer Implementation Lecture 154 Hyperparameter Tuning Implementation Lecture 155 Building Prediction Pipeline Lecture 156 Deployment AWS Beanstalk Lecture 157 Deployment In EC2 Instance Lecture 158 Deployment In Azure Web App Section 21: Build, Train ,Deploy And Create Endpoints For ML Project Using AWS Sagemaker Lecture 159 Introduction To AWS Sagemaker Amd Project Set up Lecture 160 EDA,AWS IAM, S3 Set up With Data Ingestion Lecture 161 Implementing Training Script For AWS Sagemaker Lecture 162 Training With An On Spot Instance In AWS Sagemaker Lecture 163 Deployment Of Endpoint With AWS Sagemaker And Inferencing Section 22: Grafana-Open Source Tool For Data Visualization And Monitoring Lecture 164 Introduction To Grafana Open Source Tool Lecture 165 Grafana Cloud Set Up And Problem Statement Lecture 166 Visualization Implementation With Grafana Cloud And Postgresql In AWS Section 23: Generative AI Series With AWS LLMOPS Lecture 167 LifeCycle Of Gen AI Projects In Cloud Lecture 168 Blog Generation Generative AI App Using AWS Lambda And Bedrock Lecture 169 Deployment Of HuggingFace LLM Model In AWS Sagemaker Lecture 170 End To End GENAI App Using NVIDIA NIM Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.,DevOps professionals wanting to integrate ML pipelines.,Software Engineers interested in transitioning to MLOps.,Beginners with basic ML knowledge aiming to learn end-to-end deployment.,IT professionals eager to understand MLOps tools and practices for real-world projects. 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Free Download Color Theory Bootcamp, Lessons 1-3 Bill Perkins | Duration: 10:20 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 14,7 GB | Language: English Disney Art Director and color expert, Bill Perkins takes you on a thrilling journey into the subject of color theory. This unique and comprehensive series will teach you how to think about the components of color, how to use color to create visual effects and mood, and how to quickly mix and block in color harmonies and other relationships. This course culminates with a Color Bootcamp where you will paint a series of timed references designed to "drill" core color concepts. 1.Color Theory I: Valuewith Bill Perkins In this video series, instructor Bill Perkins breaks down the complex topic of Color Theory in a clear and easy to understand way. In this first lesson Bill Perkins is focused on values and he will introduce the importance of establishing a strong Matrix and the mood by adjusting your Major and Minor Keys. He will also demonstrate the importance and differences between designing via Chiaroscuro and Notan and show you how you can utilize these schemes in your drawings and paintings. 3h 19m 30s 2.Color Theory I: Hue and Saturationwith Bill Perkins In this video lesson painter Bill will teach you how to create warm and cool tones by mixing dark and light colors together to achieve your desired results. Bill will paint three head painting demonstrations each with a different balance of hue and saturation to help you clearly analyze the use and impact of each combination in your own paintings. 3h 5m 56s 3.Color Theory I: Complementary Colorswith Bill Perkins In this third lesson of the series, instructor Bill Perkins will teach you how to play colors with or against one another to create different effects in your paintings. Bill will demonstrate these concepts with a still life painting with heavy contrast and a wide range of light and color. 3h 56m 10s Homepage https://www.nma.art/courses/color-theory-bootcamp/ Screenshot Rapidgator https://rg.to/file/2b4a8ff26b936c8fd796abade9e895a5/amgap.Color.Theory.Bootcamp.Lessons.13.part4.rar.html https://rg.to/file/3acbf5f96d535930e617f41bf80bbee1/amgap.Color.Theory.Bootcamp.Lessons.13.part2.rar.html https://rg.to/file/3f0bc2969c99e0881cb6e14fb01b9695/amgap.Color.Theory.Bootcamp.Lessons.13.part5.rar.html https://rg.to/file/8d6a6c9903223101e668a75c39346f9f/amgap.Color.Theory.Bootcamp.Lessons.13.part7.rar.html https://rg.to/file/ae095bec17db2615fffbd5574c79043b/amgap.Color.Theory.Bootcamp.Lessons.13.part8.rar.html https://rg.to/file/b6f3bde896ec5ab4183883863d487db3/amgap.Color.Theory.Bootcamp.Lessons.13.part1.rar.html https://rg.to/file/ce93471dd6bd6ca478610b03e19fd373/amgap.Color.Theory.Bootcamp.Lessons.13.part6.rar.html https://rg.to/file/f06570bd6b1f2a7487f205e6671a0d85/amgap.Color.Theory.Bootcamp.Lessons.13.part3.rar.html Fikper Free Download https://fikper.com/17BFnVWgT8/amgap.Color.Theory.Bootcamp.Lessons.13.part2.rar.html https://fikper.com/GRpqDnNMBr/amgap.Color.Theory.Bootcamp.Lessons.13.part7.rar.html https://fikper.com/H8AXZ3Yzz1/amgap.Color.Theory.Bootcamp.Lessons.13.part8.rar.html https://fikper.com/HsvbrDO5tC/amgap.Color.Theory.Bootcamp.Lessons.13.part3.rar.html https://fikper.com/PAcse3NhGy/amgap.Color.Theory.Bootcamp.Lessons.13.part1.rar.html https://fikper.com/WOzidG1oPo/amgap.Color.Theory.Bootcamp.Lessons.13.part6.rar.html https://fikper.com/kctIY8eGGr/amgap.Color.Theory.Bootcamp.Lessons.13.part4.rar.html https://fikper.com/t0MReEUzFy/amgap.Color.Theory.Bootcamp.Lessons.13.part5.rar.html No Password - Links are Interchangeable

Free Download 7 Days Of Hands-On Ai Development Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.21 GB | Duration: 3h 44m From Zero to AI: A Beginner's Guide to Building and Deploying AI Projects What you'll learn Build, train, and deploy machine learning models for real-world applications like classification, regression, and NLP tasks. Master essential AI concepts, including neural networks, data preprocessing, model evaluation, and text processing. Deploy AI models as web services using Flask, enabling real-time user interaction and cloud deployment on platforms like Heroku. Utilize pre-trained models and transfer learning techniques to quickly implement NLP and image classification tasks. Requirements No Prior Coding Knowledge Required: The course starts from the basics of Python, so no prior programming experience is needed. Basic Computer Usage: Learners should know how to navigate their computer, install software, and use a web browser. Basic Math Knowledge: Understanding of algebra and basic linear algebra (matrices, vectors) will be helpful. Computer with Internet Access: A laptop or desktop is needed to install software, download data, and follow the lessons. Description Welcome to "7 Days of Hands-On AI Development Bootcamp: Build Real-World AI Projects from Scratch," a course designed for absolute beginners who are eager to step into the world of artificial intelligence (AI). This course is ideal for those with little to no prior experience in programming or AI but have the curiosity and drive to learn. Whether you're a student, a career-changer, or simply interested in building your first AI project, this course is structured to take you from zero knowledge to deploying real-world AI models.Over the span of 7 days, you'll build projects every day, starting from the basics of Python programming to deploying a fully-functional AI model on the web. Each day is packed with hands-on projects, practical applications, and easy-to-follow instructions to ensure that you gain not just theoretical knowledge but real-world skills that you can apply right away.What You Will Learn:This course covers everything you need to get started with AI development. Each day is focused on a new topic, gradually building on what you've learned previously. Here's a brief overview of what you can expect:Day 1: Python for AI BasicsWe start with the foundation-Python programming. Python is the most popular language for AI, and by the end of Day 1, you'll understand basic Python syntax, data types, control flow, and how to use essential libraries like NumPy and Pandas. You'll also build your first simple program, setting the stage for the AI projects to come.Day 2: Exploratory Data Analysis (EDA)Data is the backbone of AI, and before you can train models, you need to know how to analyze it. On Day 2, you will learn how to clean, manipulate, and visualize data. Using libraries like Matplotlib and Seaborn, you'll explore datasets, handle missing data, and visualize relationships between different features. You'll work with real-world data to uncover hidden insights.Day 3: Introduction to Machine LearningOn Day 3, we dive into machine learning with a focus on Linear Regression. You'll learn the fundamentals of supervised learning, including how to split your dataset into training and testing sets, train a model, and evaluate its performance. By the end of the day, you'll build your first predictive model to forecast continuous variables like house prices.Day 4: Classification Models in Machine LearningNext, you'll tackle classification problems using Logistic Regression. Whether predicting if an email is spam or classifying customer churn, this day teaches you how to build a classification model and evaluate it using metrics like precision, recall, and accuracy. You'll also learn how to interpret confusion matrices to understand the performance of your model.Day 5: Neural Networks and Deep LearningDay 5 introduces the fascinating world of neural networks. You'll build a simple feedforward neural network to classify handwritten digits using the MNIST dataset. You'll gain hands-on experience with libraries like TensorFlow or PyTorch, and learn about key concepts such as activation functions, backpropagation, and training deep learning models.Day 6: Natural Language Processing (NLP)Day 6 focuses on Natural Language Processing (NLP), where you'll build a sentiment analysis model using text data. By leveraging pre-trained models from Hugging Face or building your own with TensorFlow, you'll classify text as positive or negative. This day provides an introduction to text preprocessing, tokenization, and transfer learning in NLP.Day 7: Deploying an AI Model as a Web ServiceOn the final day, you'll learn how to deploy your AI models as a web service using Flask. You'll integrate your AI models into a web application, making them accessible to users via a browser. Additionally, you'll deploy your app to a cloud platform like Heroku. By the end of the day, you'll have a working AI-powered web app that anyone can interact with online.Who This Course is For:Absolute Beginners: No prior programming or AI knowledge is required. This course is designed to be beginner-friendly.Students: If you're studying AI, machine learning, or data science, this course will give you the practical hands-on experience to solidify your learning.Career-Changers: If you're looking to switch to a career in AI or machine learning, this course will give you the foundation to start your journey.Hobbyists and Enthusiasts: If you're simply curious about AI and want to build projects for fun, this course will provide you with easy-to-follow instructions.Why Take This Course?This course is not just about theory-it's about building. You'll have real projects in your portfolio by the end of the week. Each day is packed with practical coding exercises and project-building that makes learning AI development easy and approachable. Whether you want to boost your career, impress employers, or explore the world of AI for personal interest, this course is designed to make that journey engaging, interactive, and rewarding.So, are you ready to build AI projects from scratch in just 7 days? Let's get started! Overview Section 1: Introduction to Course Lecture 1 Introduction to Course Section 2: Day 1: Python for AI Basics Lecture 2 Introduction to Day 1: Python for AI Basics Lecture 3 Introduction to Python Programming Lecture 4 Python Basics Lecture 5 Working with Lists and Dictionaries Lecture 6 Introduction to NumPy Lecture 7 Introduction to Pandas Lecture 8 Hands-on Project: Basic Data Manipulation and File Handling Section 3: Day 2: Exploratory Data Analysis (EDA) Lecture 9 Introduction to Day 2: Exploratory Data Analysis (EDA) Lecture 10 Loading and Inspecting Data Lecture 11 Handling Missing Data Lecture 12 Data Transformation and Feature Engineering Lecture 13 Visualizing Data with Matplotlib and Seaborn Lecture 14 Descriptive Statistics Lecture 15 Hands-on Project: Exploratory Data Analysis on a Real Dataset Section 4: Day 3: Introduction to Machine Learning (ML) Lecture 16 Introduction to Day 3: Introduction to Machine Learning (ML) Lecture 17 What is Machine Learning? Lecture 18 Supervised Learning and Dataset Preparation Lecture 19 Building a Linear Regression Model Lecture 20 Evaluating the Model Lecture 21 Feature Scaling and Regularization Lecture 22 Hands-on Project: Predicting House Prices using Linear Regression Section 5: Day 4: Classification Models in Machine Learning Lecture 23 Introduction to Day 4: Classification Models in Machine Learning Lecture 24 What is Classification? Lecture 25 Logistic Regression for Classification Lecture 26 Building a Logistic Regression Classifier Lecture 27 Evaluating the Classification Model Lecture 28 Visualizing the Decision Boundary Lecture 29 Hands-on Project: Spam Detection Using Logistic Regression Section 6: Day 5: Introduction to Neural Networks and Deep Learning Lecture 30 Introduction to Day 5: Introduction to Neural Networks and Deep Learning Lecture 31 What is a Neural Network? Lecture 32 Introduction to Deep Learning Frameworks Lecture 33 MNIST Dataset Overview Lecture 34 Building a Simple Neural Network for MNIST Classification Lecture 35 Evaluating the Neural Network Lecture 36 Understanding Activation Functions Lecture 37 Hands-on Project: Handwritten Digit Classification using Neural Networks Section 7: Day 6: Building a Sentiment Analysis Model Using Natural Language Processing Lecture 38 Introduction to Day 6: Building a Sentiment Analysis Model Using NLP Lecture 39 Introduction to Natural Language Processing (NLP) Lecture 40 Sentiment Analysis: Understanding Text Classification Lecture 41 Text Preprocessing Lecture 42 Using Pre-trained Models for NLP (Hugging Face) Lecture 43 Building a Sentiment Analysis Model with TensorFlow Lecture 44 Evaluating the Model Lecture 45 Hands-on Project: Sentiment Analysis Using Pre-trained NLP Models Section 8: Day 7: Deploying an AI Model as a Web Service Lecture 46 Introduction to Day 7: Deploying an AI Model as a Web Service Lecture 47 Introduction to Flask for Web Development Lecture 48 Creating a Web Interface for Your Model Lecture 49 Deploying the Flask App to Heroku Lecture 50 Testing the Web Service This course is designed for absolute beginners who are eager to learn AI development but have little to no prior experience in programming or machine learning. 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Free Download 7 Days Bootcamp - Learn Python Programming in Just 7 Days Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 14m | Size: 455 MB Master Python in a Week and Supercharge Your Programming Skills What you'll learn Understand and implement Python's core syntax and structures. Learn how to handle files, work with APIs, and manipulate data in Python. Write Python scripts to automate tasks and solve real-world problems. Build a portfolio of Python projects to showcase your skills. Requirements A laptop or desktop with Python installed. Basic knowledge of any programming language is helpful but not required. Description As Course "7 Days Bootcamp | Learn Python Programming in Just 7 Days" Indicate that you will learn Python programming language with huge concept, theoretical, practical and also exercises with solutions.Are you ready to learn Python in just one week? "Learn Python in Just 7 Days" is designed for fast learners and motivated individuals who want to quickly grasp the fundamentals of Python. Whether you're looking to switch careers, enhance your programming skillset, or dive into new tech fields like data science and automation, this course provides the necessary foundation in Python-one of the most popular and versatile programming languages in the world.The course is structured to help you learn progressively, starting with basic syntax and advancing to more complex tasks like file handling, working with APIs, and even data manipulation using popular libraries. Python's clean, simple syntax makes it easier to pick up compared to other languages, making this rapid course both practical and effective.Course Outline Chapter 1: Introduction to Python and SetupWhy Learn Python in 7 Days?Python's straightforward syntax enables quick mastery.Gain essential programming skills that are highly valued by employers.Python is widely used in data science, automation, and web development.The ability to learn a powerful language quickly opens more career opportunities.Benefits of Taking This CourseDevelop essential Python skills in a short amount of time.Be job-ready for entry-level positions in fields like data analysis, software development, and automation.Learn how to build Python projects from scratch, boosting your portfolio.Gain access to a community of Python developers for future growth and learning.How to Make Money After Completing This CourseApply for entry-level Python developer positions.Freelance on platforms like Upwork and Fiverr, offering Python scripting services.Automate repetitive tasks for businesses using Python and get paid for your solutions.Build and sell Python-based tools or products online. Who this course is for Beginners looking for a fast and efficient way to learn Python. Programmers from other languages wanting to quickly add Python to their skillset. Job seekers or professionals who need Python skills to advance their careers. Homepage https://www.udemy.com/course/7-days-bootcamp-learn-python-programming-in-just-7-days/ Rapidgator https://rg.to/file/490353e462e20210da4ef0249f0b29ca/djhxp.7.Days.Bootcamp..Learn.Python.Programming.in.Just.7.Days.rar.html Fikper Free Download https://fikper.com/Y5VhharXuW/djhxp.7.Days.Bootcamp..Learn.Python.Programming.in.Just.7.Days.rar.html No Password - Links are Interchangeable

Free Download The 2024 Pandas Bootcamp - Advanced Data Analysis with Python Published 10/2024 Created by Travis Cuzick MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 188 Lectures ( 19h 21m ) | Size: 6 GB Master Pandas and Python with real-world datasets and 200+ hands-on exercises! Go from beginner to expert Data Analyst!t What you'll learn: Master the fundamentals of Python programming for data analysis Leverage the powerful Pandas library to manipulate and analyze complex datasets Fetch and import external datasets into Pandas from various sources Handle missing data, duplicates, and data type conversions Filter datasets with logical criteria using SQL-like operations Merge and combine multiple datasets efficiently Create insightful summary views by grouping and aggregating data Pivot and reshape datasets for deeper insights Manipulate string data and harness the power of regular expressions Perform time series analysis and calculations on datetime data Visualize your findings with various types of plots and charts Transform data using custom Python functions and Pandas methods Requirements: No programming experience is required All you need is a computer with internet access Description: Master data analysis with Python and Pandas: the most comprehensive AND effective course anywhere!Welcome to the ultimate course on data analysis using Python and the powerful Pandas library. Whether you're a complete beginner or an experienced programmer looking to level up your analytical skills, this course is designed to take you from zero to data manipulation and analysis guru.What makes this course special?Proven success: Over 100,000 students have used my courses to master other data analysis tools like SQL, Excel, and Power BI No prerequisites: Start from scratch or jump ahead if you're an experienced programmerStep-by-step approach: I break down every concept step-by-step, never assuming knowledge of any concepts that haven't already been coveredReal-world problem-solving: This course is jam-packed with examples using real-world datasets, from house sales data to UFO sightings!LOTS of practice: Literally hundreds(!) of exercises are integrated throughout the course, providing immediate reinforcement after each conceptComprehensive coverage: We progress from basic Python programming to advanced data transformations with Pandas, covering every step in betweenHere's what you'll learn:Master the fundamentals of Python programming, specifically tailored for data analysisHarness the full power of the Pandas library to manipulate and analyze complex datasetsLearn how to fetch and import external datasets into Pandas from various sourcesPerform exploratory data analysis (EDA), including a range of statistical measuresDive deep into indexing, sorting, filtering, and updating Pandas DataFramesLearn how to handle missing dataFilter large datasets using SQL-like operations and logical criteriaMerge and combine multiple datasets efficientlyCreate insightful summary views by grouping and aggregating dataManipulate string data and harness the power of regular expressionsPerform time series analysis and calculations on datetime dataCreate insightful visualizations to communicate your findings effectivelyApply functional programming concepts to streamline your data analysisTransform data using custom Python functions and Pandas methodsBy the end of this course, you'll have the skills to:Confidently work with large datasets using Python and PandasPerform complex data transformations and analysisCreate insightful visualizations to communicate your findingsApply functional programming concepts to data analysisTackle real-world data problems with easeAbout your instructor: I'm Travis Cuzick, and I've taught over 100,000 students how to leverage data analysis tools like SQL, Excel, Power BI, and Python. With years of experience in teaching these skills, and applying them on the job, I've designed this course to be the most effective way to master data analysis with Python and Pandas.Don't miss this opportunity to transform yourself into a Python-powered Data Guru. With the ever-increasing importance of data - and the ability to make sense of it - in today's world, the skills you'll gain from this course will only become more valuable over time, this course will equip you with a skill set that will only grow more valuable in the future.Enroll now and take the first step towards mastering data analysis with Python and Pandas. See you inside the course! 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Free Download One Day Bootcamp - Python Programming Course In 01 Day Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.67 GB | Duration: 4h 1m Master Python Basics in Just One Day with a Complete Learning Experience" What you'll learn Python basics, including variables, data types, and input/output handling Key programming concepts like decision-making, loops, and error handling Understanding functions, arrays, strings, and numbers in Python How to work with PIP for installing Python packages Requirements No prior programming experience is required. Description Python Programming in a Day is a fast-paced, intensive course designed to take you through the essentials of Python programming in just one day. If you're pressed for time and want to quickly gain foundational Python skills, this course is perfect for you. From morning to evening, you'll immerse yourself in practical lessons, quizzes, assignments, and hands-on exercises that will give you a solid understanding of Python's core concepts.Python is one of the most in-demand programming languages in the world today. Its versatility, ease of learning, and vast application make it an essential skill for anyone looking to dive into programming, web development, data science, or automation. By the end of the day, you'll have a foundational understanding of Python that will open doors to more advanced learning and career opportunities.The course is divided into three parts: morning, afternoon, and evening sessions. Each session is followed by exercises, quizzes, and assignments to reinforce your understanding. By combining theoretical lessons with practical, hands-on coding, this course ensures you walk away with a real skill set that you can start applying immediately.Course OutlineMorning Time Lectures:Introduction to PythonEnvironment SetupVariablesInput and OutputCommentsData TypesImportant FunctionsAt the End:Article LessonQuizAssignmentExercises and Solutions (Video Lectures)Afternoon Time Lectures:OperatorsDecision Making (if, elif, else)Loops (for, while)Continue and BreakImportant FunctionsAt the End:Article LessonQuizAssignmentExercises and Solutions (Video Lectures)Evening Time Lectures:FunctionsArraysPIP (Python Package Index)StringsNumbersImportant FunctionsAt the End:Article LessonQuizAssignmentExercises and Solutions (Video Lectures)Why Learn Python?High Demand: Python is one of the most popular programming languages, widely used in industries like web development, data analysis, and automation.Easy to Learn: Python's simple and readable syntax makes it an ideal language for beginners.Versatile Applications: Python is used in diverse fields, from software development to artificial intelligence and data science.Career Opportunities: Learning Python opens doors to well-paying jobs in tech, freelancing, and startup ventures.BenefitsQuick Learning: This one-day course provides a fast but effective way to grasp Python basics.Interactive Content: Articles, quizzes, assignments, and hands-on exercises will reinforce your knowledge.Opportunities After the CourseFreelancing: Use your Python skills to offer coding services online.Career Growth: Start your journey toward becoming a software developer, data analyst, or automation expert.Entrepreneurship: Apply your Python knowledge to create applications or automate business processes. Overview Section 1: Python Classes at Morning Lecture 1 01 Complete Python in One Day Introduction Lecture 2 02 Introduction to Python Lecture 3 03 Environment Setup for Python Lecture 4 04 Variables and Its rules to declare in Python Lecture 5 05 Input Output Function in Python Lecture 6 06 Comments with Examples in Python Lecture 7 07 Data Types in Python Lecture 8 08 Important Python Functions with Examples Lecture 9 09 Python Exercises with Solutions Lecture 10 Article Lesson Section 2: Python Classes at Afternoon Lecture 11 10 Python Operators Lecture 12 11 if and if else in Python Lecture 13 12 elif Keyword in Python Lecture 14 13 for Loops in Python Lecture 15 14 while Loop in Python Lecture 16 15 continue and break statement in loops Lecture 17 16 enumerate function in python Lecture 18 17 map function in Python Lecture 19 18 filter function in Python Lecture 20 19 zip function in Python Lecture 21 20 isinstances function in Python Lecture 22 21 any and all function in Python Lecture 23 22 open function in Python Lecture 24 23 int float and str in Python Lecture 25 24 dir function in Python Lecture 26 25 help function in Python Lecture 27 26 Problems with Solution in Python Lecture 28 Article Lesson Section 3: Python Classes in Evening Lecture 29 27 Python Function with Examples Lecture 30 28 List as Array in Python Lecture 31 29 Array module in Python Lecture 32 30 PIP in Python Lecture 33 31 String in Python Lecture 34 32 Number in Python Lecture 35 33 Python Important Methods Lecture 36 34 Exercise 01 with Solution Lecture 37 35 Exercise 02 with Solution Lecture 38 36 Exercise 03 with Solution Lecture 39 37 Exercise 04 with Solution Lecture 40 38 Exercise 05 with Solution Lecture 41 Article Lesson Absolute beginners who want to learn Python quickly.,Students or professionals looking to add Python to their skill set in a short time.,Entrepreneurs or freelancers who want to use Python for projects or automation. 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Free Download Data Center Job Ready Bootcamp - Crack the DC Interview Code Published 10/2024 Created by Hofmeyr de Vos MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 6h 0m ) | Size: 3.83 GB Your Complete Guide to Acing Data Center Interviews: Insider Tips from a Former IT Executive What you'll learn: Prepare for data center job interviews: Develop the necessary skills and knowledge to confidently navigate data center job interviews Create a compelling resume and cover letter: Develop the skills to craft effective job application materials that highlight your data center expertise Develop a career roadmap for advancement: Gain insights into career paths within the data center field and identify opportunities for professional growth Build a strong professional network: Learn how to establish and cultivate relationships within the data center industry Requirements: No specific requirements or prerequisites required Description: Your Complete Guide to Acing Data Center Interviews: Insider Tips from a Former IT Executive. Unlock the Secrets to Landing Your Dream Job in the Data Center IndustryWelcome to "Data Center Job Ready Bootcamp: Crack the DC Interview Code," the ultimate guide to acing data center interviews and landing your dream job in the data center industry. Whether you're a recent graduate, a seasoned IT professional, or someone looking to transition into the data center field, this comprehensive course is designed to equip you with the knowledge, skills, and confidence needed to excel in any data center job interview.Course Highlights:1. Insider Tips from a Former IT Executive: Benefit from the invaluable insights of a former IT executive who has been on both sides of the interview table. Learn what hiring managers are really looking for and how to present yourself as the ideal candidate.2. Comprehensive Interview Preparation: Dive deep into the types of questions commonly asked in data center interviews, including technical, behavioral, and situational questions. Gain access to detailed explanations and model answers to help you stand out.3. Practical Skills and Hands-On Practice: Engage in practical exercises and mock interviews that simulate real-world scenarios. Build confidence and improve your responses through constructive feedback and tips.4. Resume and Cover Letter Guidance: Craft a compelling resume and cover letter that highlight your strengths and achievements. Learn how to tailor your application materials to match the job requirements and increase your chances of getting noticed.5. Career Development and Networking: Discover strategies for career growth and networking within the data center industry. Learn how to leverage professional networks and industry events to advance your career.By the end of this course, you will have a thorough understanding of the data center interview process, from initial preparation to final follow-up. You will be equipped with the tools and techniques to answer questions confidently, demonstrate your technical expertise, and showcase your problem-solving abilities. Unlock the secrets to landing your dream job in the data center industry and take the next step in your career journey. Who this course is for: This course is designed for aspiring data center professionals who want to: Break into the competitive data center job market Gain a comprehensive understanding of data center operations Master the art of the data center interview Build a strong foundation for long-term career growth Whether you're a recent graduate, a career changer, or looking to advance your current role, this bootcamp will equip you with the essential skills and knowledge to succeed in the dynamic world of data centers Homepage https://www.udemy.com/course/data-center-job-ready-bootcamp-crack-the-dc-interview-code/ Rapidgator https://rg.to/file/3ed4e2955a82e9d976793945029ca1c2/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part1.rar.html https://rg.to/file/f21f6fcfb38574317a1f689fc5c48448/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part2.rar.html https://rg.to/file/3fc6582748756bb2a4cea6fb33ebe85d/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part3.rar.html https://rg.to/file/7eaf7dfc12caf00593f34bf48d501aed/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part4.rar.html Fikper Free Download https://fikper.com/0gJJ0bYPjP/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part1.rar https://fikper.com/ypiVx94jfI/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part2.rar https://fikper.com/myNRk89VFH/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part3.rar https://fikper.com/G6EmtnnRSW/jcsyh.Data.Center.Job.Ready.Bootcamp.Crack.the.DC.Interview.Code.part4.rar No Password - Links are Interchangeable

Free Download Next JS BootCamp - Build Real World Production Ready Projects Published 10/2024 Created by Vapa Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 68 Lectures ( 8h 11m ) | Size: 5.83 GB Build Real-World Apps with Next.js, Tailwind CSS, Material UI, and TypeScript-Starting with a Dynamic Next.js Project. What you'll learn: Build A Fully Functional Movie App Using Next JS And TMDB API Master Core Next JS Concepts Like Server-Side Rendering (SSR) And Static Site Generation (SSG) Implement Responsive Designs Using Tailwind CSS Learn To Create Modern, Stylish Components With Material UI Integrate TypeScript For Type-Safe And Scalable Application Development Handle API Routes And Data Fetching In Next JS Develop A Dynamic Search Feature With Real-Time Results Build Pagination, Filtering, And Advanced Layouts For Movies And TV Shows Deploy Projects To Vercel For Live, Production-Ready Applications Optimize Apps For Responsiveness Across Mobile And Desktop Devices Requirements: Students Don't Need To Have Any Prior Knowledge To Take This Course; They Will Learn Everything From It. Description: In this comprehensive Next.js Bootcamp, you will build real-world, production-ready applications from scratch. 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Free Download The Comprehensive Sql Bootcamp - Go From Novice To Expert Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.51 GB | Duration: 4h 54m Learn and Enjoy SQL What you'll learn Understand the Basics and Dynamics of SQL Use SQL to query a Database Install SQL and SSMS Extract Insights with SQL statements Arithmetic and String Functions SQL Clauses and Commands Requirements No prior technical experience is required! Just your Computer Description Learn from a 4.5 star rated Course Instructor garnering many students with positive reviews. Unlock the power of data with The Comprehensive SQL Bootcamp! Designed and Simplified for beginners and aspiring data professionals. This all-inclusive course takes you on a journey from SQL fundamentals to advanced techniques. You'll start by learning The basics of database management, querying, and data manipulation. Complex joins including Left Join, Right Join, Outer Join, Full Join, Cross Join and Self Join SQL Statements concepts and classification.Arithmetic and string command PromptsAutomated SQL FeaturesSQL Download and Installation with SSMS( SQL Server Management Studio)Data Types with Foreign Keys and Primary KeysAggregate Functions for your statistical analysis in SQL.Work with real life Dataset includedWith hands-on projects and real-world datasets, you'll gain practical skills in creating, managing, and querying databases efficiently. By the end of this bootcamp, you'll have the expertise and confidence to tackle any SQL challenge, making you a valuable asset in any data-driven industry. I will make you to understand that SQL is easier than Excel and any Data analysis tool yet more relevant. No prior experience required-just a passion for learning! Enroll now and enjoy writing and generating statements in SQL. Overview Section 1: Course Introduction Lecture 1 Introduction Lecture 2 Installation - SQL Server and Management Studio Download with First Query Lecture 3 Why SQL is the Best Section 2: SQL Commands Fundamentals Lecture 4 SQL Statements and Commands Lecture 5 Overview of SQL Lecture 6 SELECT Clause Lecture 7 SELECT DISTINCT Clause Lecture 8 SELECT DISTINCT WHERE Clause Lecture 9 ORDER BY Clause Lecture 10 SELECT WHERE Clause Lecture 11 BETWEEN Clause Lecture 12 IN Clause Lecture 13 Count Clause Lecture 14 Count Where Clause Section 3: SQL Advanced Commands (Arithmetic Functions) Lecture 15 Absolute Function Lecture 16 Square Root Function Section 4: SQL Advanced Commands (String Functions) Lecture 17 Concatenation Lecture 18 Substring Lecture 19 Text Functions Section 5: Combining Results Lecture 20 Union Lecture 21 Union All Lecture 22 Intersect Lecture 23 Except Section 6: SQL JOIN Lecture 24 Basic Joins Lecture 25 Left Outer Joins Lecture 26 Right Outer Join Lecture 27 Full Outer Join Lecture 28 Cross Join Lecture 29 Self Join Section 7: SQL Data Categories Lecture 30 Data Types Lecture 31 Primary Keys Lecture 32 Foreign Keys Lecture 33 Constraints Section 8: SQL Query Design Lecture 34 Query Editor Section 9: Aggregation Commands Lecture 35 Group By Lecture 36 Group By - WHERE Lecture 37 Group By - Multiple Conditions Lecture 38 Average Lecture 39 MAX Lecture 40 MIN Lecture 41 HAVING Clause Lecture 42 HAVING - With Multiple Conditions SQL Enthusiast, Data Analyst Homepage https://www.udemy.com/course/the-comprehensive-sql-bootcamp-go-from-novice-to-expert/ Rapidgator https://rg.to/file/63c3422df8baa9940fd9f2f186f70d5e/tvpul.The.Comprehensive.Sql.Bootcamp.Go.From.Novice.To.Expert.part2.rar.html https://rg.to/file/9718ac07c60bfa45ab29bd5ffccc65c6/tvpul.The.Comprehensive.Sql.Bootcamp.Go.From.Novice.To.Expert.part1.rar.html Fikper Free Download https://fikper.com/P3cAnOptDy/tvpul.The.Comprehensive.Sql.Bootcamp.Go.From.Novice.To.Expert.part2.rar.html https://fikper.com/RjGIC1TDMU/tvpul.The.Comprehensive.Sql.Bootcamp.Go.From.Novice.To.Expert.part1.rar.html No Password - Links are Interchangeable

Free Download RedefineFX - Charlie Puth - EmberGen Bootcamp Charlie Puth | Duration: 0:52 h | Video: H264 1920x1052 | Audio: AAC 44,1 kHz 2ch | 679 MB | Language: English Become top-level talent for any studio by staying ahead of your peers and mastering a new tool the industry is adopting at lightning speed. Learn in-demand skills, level-up your portfolio, wow your friends, and attract more career opportunities. Available exclusively at RedefineFX, The Embergen Bootcamp is by far the most complete EmberGen course on the market today, covering every main feature in-depth, and taking you from an absolute beginner to an advanced level at creating breathtaking volumetric and particles effects. Homepage https://redefinefx.com/ember/ TakeFile https://takefile.link/g5iclbrl3v1f/uppex.RedefineFX..EmberGen.Bootcamp.rar.html Rapidgator http://peeplink.in/37d77a667b4f Fikper Free Download https://fikper.com/SSogvyERUs/uppex.RedefineFX..EmberGen.Bootcamp.rar.html No Password - Links are Interchangeable

Free Download Udemy - React Bootcamp 2023 Last updated 9/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: Arabic | Duration: 17h 13m | Size: 7.93 GB تعلم أساسيات الرياكت وأتقن مبادئها وابن مشروعين كاملين باستخدامها What you'll learn تعلم مبادئ رياكت ابن تطبيق كامل من الألف الى الياء باستخدام رياكت ابن موقع تواصل اجتماعي باستخدام رياكت تعلم الاساليب الحديثة في برمجة الجافاسكريبت HTML, CSS طور مهاراتك مع تعلم كيفية التخاطب مع السيرفر من خلال تطبيق رياكت Requirements معرفة مبدأية بالجافاسكريبت ستضمن نجاحكم بالدورة Description مرحبا أصدقائي، أهلا وسهلا بكم في هذه الدورة الممتعة. سنتعلم مع بعضنا البعض أساسيات الرياكت وسوف نقوم ببناء مشروعين. ومع نهاية الدورة، ستكونوا قد أتقنتوا استخدام الرياكت وأصبحتوا جاهزين لاستخدامها بحياتكم العملية.الجافاسكريبت هي اللغة الأساسية في هذه الدورة وسنستخدمها في برمجة مجموعة التكنولوجيا التي سنقوم بتعلمها. في هذه الدورة، سنركز على التالي :React JS : هي مكتبة في الجافاسكريبت طورتها شركة فيسبوك لبرمجة تطبيقات ويب من جهة العميل.Redux : هي مكتبة في الجافاسكريبت لتنظيم بيانات الموقع من جهة العميل أو ما يسمى State.Node JS : هي بيئة عمل بإستخدام الجافاسكريبت لبناء تطبيقات ويب من جهة الخادم. Express JS : هي مكتبة في الجافاسكريبت وجزء من منظومة النود لبناء APIs.MongoDB : هو برنامج لبناء قواعد بيانات NoSQL Databases .MongoDB Atlas : هي خدمة مقدمة من MongoDB تخولنا أن نبني قواعد بيانات على الإنترنت . GitHub Pages and Cyclic : هي خدمات تخولنا أن نرفع تطبيقات ويب على الانترنت لتقم بتشغيلها لنا.Postman : هو برنامج يساعدنا على تجربة ال APIs والتحقق من عملهم.Asynchronous Programming : هو أسلوب في البرمجة لبناء تطبيقات بإستخدام الخاصية اللاتزامنية.HTML : هي اللغة الأساسية لتصميم هياكل برامج الويب والمواقع الالكترونية.CSS : هي اللغة الأساسية لإضافة اللمسات الجمالية لمواقع الإنترنت.المشروع الأول:سنقوم ببناء تطبيق ويب يمثل موقعكم الشخصي أو المحفظة الشخصية. الموقع سيحتوي على العديد من المبادئ الحديثة في عالم الويب مع ثلاث صفحات:الصفحة الأولى : تحتوي على معلوماتنا الشخصية، ومجموعة دوراتنا أو مشاريعنا.الصفحة الثانية : تعرض الصفحة مثل اليوم مع مجموعة مختارة من الأمثال الشعبية العربية.الصفحة الثالثة : تحتوي على مجموعة من الصور للأماكن أو المدن المفضلة لنا.المشروع الثاني:سنقوم ببناء موقع تواصل إجتماعي للمبرمجين، وسيحتوي الموقع على الخصائص التالية:User Authentication : لإعطاء المستخدم الإمكانية لبناء حساب مع تسجيل الدخول والخروج.Profile : الصفحة الرئيسية للمستخدم لعرض المعلومات الشخصية.Posts : صفحة التواصل الرئيسية للمستخدمين.Developers : صفحة لعرض جميع مستخدمين الموقع.Settings : صفحة الإعدادات. Who this course is for أي شخص لديه رغبة تعلم مهارة جديدة الأشخاص الراغبين بتقوية مهاراتهم بالجافاسكريبت تعلم مبادئ رياكت وإتقانها Homepage https://www.udemy.com/course/react-bootcamp-2023/ Rapidgator https://rg.to/file/4277ece713abd2de76ea11efcdab4fbf/fisbx.React.Bootcamp..2023.part01.rar.html https://rg.to/file/19071db46f1d8bb99086704e176a26a2/fisbx.React.Bootcamp..2023.part02.rar.html https://rg.to/file/83b28b5fdbb79d1ac58d9b7548326f7c/fisbx.React.Bootcamp..2023.part03.rar.html https://rg.to/file/733b552aa423d6775713b4593ad94bcc/fisbx.React.Bootcamp..2023.part04.rar.html https://rg.to/file/95cf706dbd90100cf0a1a67ba08d4c49/fisbx.React.Bootcamp..2023.part05.rar.html https://rg.to/file/61d692465e59c040d53d2c9f4a2b84b7/fisbx.React.Bootcamp..2023.part06.rar.html https://rg.to/file/38f9a0507c8d3c73fe6d1e602d42399f/fisbx.React.Bootcamp..2023.part07.rar.html https://rg.to/file/9e495d53ccce9bdb6bc05c87b419ee62/fisbx.React.Bootcamp..2023.part08.rar.html https://rg.to/file/6ae0ed157dd39bdea094c59009cb045a/fisbx.React.Bootcamp..2023.part09.rar.html Fikper Free Download https://fikper.com/52z8s7ATOj/fisbx.React.Bootcamp..2023.part01.rar.html https://fikper.com/OeKgwx9mCV/fisbx.React.Bootcamp..2023.part02.rar.html https://fikper.com/DOQt42JbJi/fisbx.React.Bootcamp..2023.part03.rar.html https://fikper.com/dX7JlSicuu/fisbx.React.Bootcamp..2023.part04.rar.html https://fikper.com/3khaHFNBxg/fisbx.React.Bootcamp..2023.part05.rar.html https://fikper.com/i02KvX4u9B/fisbx.React.Bootcamp..2023.part06.rar.html https://fikper.com/UbpZsg1owR/fisbx.React.Bootcamp..2023.part07.rar.html https://fikper.com/Pv7sDP6qnO/fisbx.React.Bootcamp..2023.part08.rar.html https://fikper.com/ePDEpnxGDu/fisbx.React.Bootcamp..2023.part09.rar.html No Password - Links are Interchangeable

Free Download React JS Project Bootcamp - Build Production Ready Projects Published 9/2024 Created by Vapa Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 107 Lectures ( 14h 58m ) | Size: 11.7 GB Master React JS with a YouTube Clone and More: Develop Scalable, Real-World Projects for Production-Ready Deployment. What you'll learn: Master the fundamentals of React JS, including components, state, props, and hooks. Build a real-world YouTube Clone app using React and the YouTube API. Learn how to structure and organize scalable React projects for production-ready applications. Implement Tailwind CSS to create responsive and modern user interfaces quickly and efficiently. Understand how to manage complex state and data flow using React Context and hooks. Gain experience in using GitHub for version control, collaboration, and managing project repositories. Learn how to deploy React applications to the cloud using Vercel for fast and reliable hosting. Optimize web applications for performance, scalability, and user experience in real-world environments. Work with APIs to fetch data, handle asynchronous operations, and integrate third-party services into your projects. Develop a strong portfolio of production-ready projects to showcase your skills to potential employers. Requirements: Students don't need to have any prior knowledge to take this course. They will learn everything from the ground up. Description: Welcome to **React JS Project Bootcamp: Build Production-Ready Projects**, where you'll gain hands-on experience by developing real-world, scalable applications using React JS! This bootcamp is designed for aspiring developers who want to enhance their React JS skills while building production-ready web applications.Throughout this course, you will create **20 projects**, ranging from simple to complex, each designed to build and strengthen your understanding of React. You'll dive into state management, hooks, routing, API integration, and responsive design, ensuring you have a solid grasp of React's core concepts. By the end of the course, you'll have a portfolio full of practical projects to showcase your skills.Featured Project: YouTube Clone Web App:In the **YouTube Clone Web App** project, you'll learn how to integrate React with the **YouTube API**, allowing you to fetch and display video data dynamically. This project will cover:- Fetching videos using the YouTube API.- Creating a responsive, user-friendly interface.- Building video search functionality.- Displaying video details and related content.- Implementing modern React features like hooks and context.By the end of this project, you'll have a fully functional YouTube clone with real-world capabilities, preparing you to build similar apps in your professional career.This course is perfect for anyone looking to level up their React JS knowledge and develop production-ready skills. Whether you're a beginner or intermediate developer, this bootcamp will push you toward mastering React through engaging, practical projects! Who this course is for: Beginners who are new to React JS and want to learn by building real-world projects. Front-end developers looking to strengthen their skills in modern React development. JavaScript developers wanting to expand their knowledge and work on production-ready applications. 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Free Download The Complete Unity C# Game Developer Bootcamp Part 2 of 2 Published 9/2024 Created by Jonathan Weinberger,GameDevHQ Team MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 459 Lectures ( 38h 14m ) | Size: 24 GB Master Unity C# to Build 2D, 3D, and AR/VR Games - From Coding Fundamentals to Advanced Game Development Techniques What you'll learn: Build 12 game development projects for your portfolio (Between part 1 and part 2), ready to apply for junior Unity developer jobs. After the course you will be able to build ANY game you want. Work as a freelance game developer. Master C# development with Unity. In Part 2, Learn the latest technologies, including C#, Unity, IK Animation, User Interface Development, and Optimization Techniques Build fully-fledged games and apps for your startup or business. Learn developer best practices. Requirements: Highly recommend Part 1 of The Complete Unity C# Game Developer Bootcamp A computer with access to the internet No paid software required I'll walk you through, step-by-step how to get all the software installed and set up Description: Welcome to The Complete Unity C# Bootcamp Part 2 of 2, the only course you need to master Unity and launch your career in game development. With thousands of success stories and glowing reviews, this is one of the most comprehensive and highly acclaimed Unity courses ever released on Udemy.At over 80+ hours of video tutorials (Including part 2), this Unity Bootcamp covers every aspect of game development, taking you from absolute beginner to a job-ready professional. Whether you want to build 2D games, 2.5D projects, 3D environments, or dive into AR/VR, this course will guide you step-by-step. No prior programming experience is required, and by the end, you'll be ready to build your own games and showcase a portfolio that gets you hired.Part 2 picks up right where Part 1 left off, diving deeper into advanced Unity techniques. You'll master the creation of 3D games and FPS shooters, harness the power of IK animation for realistic character movements, and become proficient in Unity's UI system, specifically tailored for mobile gaming. On top of that, you'll explore optimization strategies, ensuring your games run smoothly across platforms. By the end of Part 2, you'll have all the skills necessary to confidently step into entry-level roles in the game development industry.Why This Course?This course is packed with never-before-seen content, covering the latest tools and techniques used in top studios worldwide. Here's what makes it stand out:Taught by GameDevHQ, a leading platform in game development education, this curriculum has been tested and refined over years of teaching developers just like you.The course is 2024 ready and includes new, cutting-edge content like Timeline & Cinemachine, AI Navigation, URP & HDRP lighting, Unity's New Input System, and an in-depth Physics & Interactions course that's never been publicly released before.Save thousands by learning the same content offered in top programming bootcamps, but at a fraction of the cost. Gain access to all the materials that helped countless students break into the industry-no college degree required.This course doesn't cut any corners. It features beautiful, animated explanations, real-world projects, and hands-on challenges to solidify your skills. You'll build games from scratch, implement best practices, and create a professional portfolio along the way.What You Will Learn: Part 2Throughout this comprehensive bootcamp, you'll cover a wide array of topics, including:Core Unity & C# Programming: Master the essentials, from variables, loops, and conditionals to abstract classes, interfaces, and advanced data structures like dictionaries.Advanced Game Development Techniques: Learn cutting-edge content, including never-before-seen tutorials on 3D Game Development and IK Animation, Advanced Game Logic Interactions, User Interface Design, and Optimization Techniques.Professional Portfolio Development: By the end of the course, you'll have a polished portfolio of games to showcase to employers and kickstart your career.What You Will Learn: Part 1Throughout this comprehensive bootcamp, you'll cover a wide array of topics, including:Core Unity & C# Programming: Master the essentials, from variables, loops, and conditionals to abstract classes, interfaces, and advanced data structures like dictionaries.Advanced Game Development Techniques: Learn cutting-edge content, including never-before-seen tutorials on Timeline & Cinemachine for cinematic cutscenes, AI navigation to create intelligent NPCs, and the new Unity Input System with Action Maps.2D, 3D, and AR/VR Game Creation: Build everything from simple 2D games to immersive 3D worlds and AR/VR experiences, using URP & HDRP for advanced lighting and rendering.Complete Physics & Interactions: Explore a brand-new, in-depth physics course that dives into everything from basic interactions to advanced mechanics, giving you the tools to create engaging, dynamic games.What Students Are Saying:"Jonathan is an incredible instructor. This course taught me more than I ever imagined. The new AI and physics content blew me away!" - Emily R."By far the best Unity course on Udemy! The level design and lighting sections using URP & HDRP were exactly what I needed to take my skills to the next level. Thank you, Jonathan!" - Michael T._"This course not only taught me the fundamentals but gave me the tools to create full games on my own. The new input system tutorials were a game changer." _- Sarah L."The most thorough and well-explained Unity course out there! I've taken several game development courses, but this one stands out in terms of both depth and clarity. I've already landed a junior developer job thanks to this!" - David G.Special Note About Unity Versions:This course was developed using Unity 2019.x to ensure the best learning experience, though it can also be followed with Unity 2020.x, 2021.x, and even Unity 6 with simple modifications. 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Free Download The Complete Unity C# Game Developer Bootcamp Part 1 of 2 Published 9/2024 Created by Jonathan Weinberger,GameDevHQ Team MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 789 Lectures ( 44h 43m ) | Size: 29.4 GB Master Unity C# to Build 2D, 3D, and AR/VR Games - From Coding Fundamentals to Advanced Game Development Techniques What you'll learn: Build 12 game development projects for your portfolio, ready to apply for junior Unity developer jobs. After the course you will be able to build ANY game you want. Work as a freelance game developer. Master C# development with Unity. Learn the latest technologies, including C#, Unity, New Input System and even AR/VR development. Build fully-fledged games and apps for your startup or business. Master AR/VR Development with XR Interaction Toolkit Learn professional developer best practices. Requirements: No programming experience needed - I'll teach you everything you need to know A computer with access to the internet No paid software required I'll walk you through, step-by-step how to get all the software installed and set up Description: Welcome to The Complete Unity C# Bootcamp Part 1 of 2, the only course you need to master Unity and launch your career in game development. With thousands of success stories and glowing reviews, this is one of the most comprehensive and highly acclaimed Unity courses ever released on Udemy.At over 80+ hours of video tutorials (Including part 2), this Unity Bootcamp covers every aspect of game development, taking you from absolute beginner to a job-ready professional. Whether you want to build 2D games, 2.5D projects, 3D environments, or dive into AR/VR, this course will guide you step-by-step. 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You'll build games from scratch, implement best practices, and create a professional portfolio along the way.What You Will Learn: Part 1Throughout this comprehensive bootcamp, you'll cover a wide array of topics, including:Core Unity & C# Programming: Master the essentials, from variables, loops, and conditionals to abstract classes, interfaces, and advanced data structures like dictionaries.Advanced Game Development Techniques: Learn cutting-edge content, including never-before-seen tutorials on Timeline & Cinemachine for cinematic cutscenes, AI navigation to create intelligent NPCs, and the new Unity Input System with Action Maps.2D, 3D, and AR/VR Game Creation: Build everything from simple 2D games to immersive 3D worlds and AR/VR experiences, using URP & HDRP for advanced lighting and rendering.Complete Physics & Interactions: Explore a brand-new, in-depth physics course that dives into everything from basic interactions to advanced mechanics, giving you the tools to create engaging, dynamic games.Professional Portfolio Development: By the end of the course, you'll have a polished portfolio of games to showcase to employers and kickstart your career.What You Will Learn: Part 2Throughout this comprehensive bootcamp, you'll cover a wide array of topics, including:Core Unity & C# Programming: Master the essentials, from variables, loops, and conditionals to abstract classes, interfaces, and advanced data structures like dictionaries.Advanced Game Development Techniques: Learn cutting-edge content, including never-before-seen tutorials on 3D Game Development and IK Animation, Advanced Game Logic Interactions, User Interface Design, and Optimization Techniques.Professional Portfolio Development: By the end of the course, you'll have a polished portfolio of games to showcase to employers and kickstart your career.What Students Are Saying:"Jonathan is an incredible instructor. This course taught me more than I ever imagined. The new AI and physics content blew me away!" - Emily R."By far the best Unity course on Udemy! The level design and lighting sections using URP & HDRP were exactly what I needed to take my skills to the next level. Thank you, Jonathan!" - Michael T._"This course not only taught me the fundamentals but gave me the tools to create full games on my own. The new input system tutorials were a game changer." _- Sarah L."The most thorough and well-explained Unity course out there! I've taken several game development courses, but this one stands out in terms of both depth and clarity. I've already landed a junior developer job thanks to this!" - David G.Special Note About Unity Versions:This course was developed using Unity 2019.x to ensure the best learning experience, though it can also be followed with Unity 2020.x, 2021.x, and even Unity 6 with simple modifications. 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Free Download Cover Letter Bootcamp - Storytelling And Hiring Optimization Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 561.22 MB | Duration: 0h 59m Craft compelling cover letters to stand out and land you interviews What you'll learn Craft compelling cover letter introductions Use storytelling techniques effectively Tailor cover letters to specific job requirements Tailor cover letters to specific job requirements Requirements No, prior knowledge or experience is required to enroll in Cover Letter Bootcamp: Storytelling and Hiring Optimization. This course is designed to be accessible to individuals of all levels, regardless of their background or experience with cover letter writing. Description Cover Letter Bootcamp: Storytelling and Hiring Optimization equips you with essential skills to craft compelling cover letters that stand out from the competition. Learn to craft personalized narratives that capture attention, highlight your unique qualifications, and land you interviews.Through examples, guidance, and practical tips, you'll learn how to:Master the art of storytelling: Use personal narratives to connect with hiring managers on a deeper level and showcase your unique value.Storytelling techniques: Use personal anecdotes and experiences to have the hiring manager remember your application and consider you for an interview.Optimize your cover letter for hiring success: Tailor your cover letter to specific job requirements and highlight your most relevant skills and experiences.Build your brand and showcase your unique value: Develop a strong personal brand and effectively communicate your unique selling points.Keyword optimization: Incorporate relevant keywords to improve your chances of passing through applicant tracking systems (ATS).What's more? Lifetime access to course materials: Enjoy ongoing access to the course content and resources, allowing you to revisit and refresh your skills as needed.Whether you're a recent graduate, a seasoned professional, or looking to make a career change, this bootcamp will provide the tools and confidence to write cover letters that land you interviews and advance your career. By investing in Cover Letter Bootcamp: Storytelling and Hiring Optimization, you're investing in your career success. Don't miss this opportunity to gain the skills and confidence you need to land your dream job. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Connective Cover Letters Lecture 2 Basics: Connector Cover Letter Ideas Lecture 3 Connector Cover Letter Introductions Lecture 4 Full Connective Cover Letters Lecture 5 Cover Letter Words Job seekers: Anyone looking to increase their chances of landing their dream job can benefit from learning how to craft compelling cover letters.,Career changers: Individuals transitioning to a new career can use storytelling techniques to highlight their transferable skills and experiences.,Unemployed individuals: Those seeking employment can use this course to improve their cover letter writing skills and increase their chances of securing a job.,Recent graduates: New graduates can learn how to write effective cover letters to stand out in a competitive job market.,Individuals looking to advance their careers: Professionals seeking promotions or new opportunities can benefit from learning how to write cover letters that showcase their accomplishments and qualifications. Homepage https://www.udemy.com/course/cover-letter-bootcamp-storytelling-and-hiring-optimization/ Rapidgator https://rg.to/file/0b1a4e1c73a9e980b4620562058faa5b/iushp.Cover.Letter.Bootcamp.Storytelling.And.Hiring.Optimization.rar.html Fikper Free Download https://fikper.com/zjSRo1p528/iushp.Cover.Letter.Bootcamp.Storytelling.And.Hiring.Optimization.rar.html No Password - Links are Interchangeable