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epub | 7.34 MB | English| Isbn:9781504044967 | Author: Worth Books | Year: 2017 Description: Category:Current Affairs & Politics, Political Activism & Parti[beeep]tion, Political Activism & Social Action Rapidgator links are free direct download only for my subscriber, other hosts are free download for free users https://fikper.com/VpFczDJ3SD/ https://rapidgator.net/file/13756417b8c159983ba84c52d65c6942/ https://turbobit.net/v0gsnm0f2h38.html

Free Download Mastering Performance Analysis with perf Published 10/2024 Created by Jackie Dinh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 46 Lectures ( 6h 18m ) | Size: 2.2 GB Deep Dive into Linux Performance Profiling and Analysis What you'll learn Understand the basics of perf - the official Linux performance tool Learn microarchitectural performance analysis Profile system and application performance Create custom performance analyses Requirements Familiar with Linux operating systems No performance engineering experience needed Description Start with the fundamentals of performance analysis using perf stat, where you'll learn how to monitor key performance metrics like CPU utilization, cache performance, and context switches. These are essential to a high-level understanding of your application and system performance.From there, you'll advance to Top-Down Microarchitecture Analysis (TMA), a method that helps you drill down into CPU inefficiencies by categorizing execution into retiring, bad speculation, backend bound, and frontend bound. This approach will allow you to precisely identify CPU performance issues.Next, you'll dive into detailed profiling with tools like perf record, perf report, and perf top to analyze workloads and uncover performance bottlenecks. You'll learn techniques like flame graphs for visualizing code execution, off-CPU analysis to detect wait times and latencies, and real-time monitoring techniques to address critical performance issues as they arise.Finally, you'll learn dynamic instrumentation with perf probe, which allows you to insert probes into running code without needing to restart applications. Combined with perf script, you'll learn how to write custom scripts that track specific events, offering deeper insights into application behavior and enabling more tailored performance analyses.By the end of this course, you'll have the skills to identify performance issues and optimize the performance of your applications and systems with confidence. Who this course is for Software engineers working on Linux-based systems need to understand how their applications perform Performance engineers or anyone specifically focused on the performance of software and systems Homepage https://www.udemy.com/course/mastering-performance-analysis-with-perf/ Screenshot Rapidgator https://rg.to/file/5464d9d3b1c3915d505a4c695756bedf/qdapn.Mastering.Performance.Analysis.with.perf.part1.rar.html https://rg.to/file/5a2cff05e0024ab6889a139c6ccb611d/qdapn.Mastering.Performance.Analysis.with.perf.part3.rar.html https://rg.to/file/a0e713971d4d69987f3be10031f62593/qdapn.Mastering.Performance.Analysis.with.perf.part2.rar.html Fikper Free Download https://fikper.com/5HkhhwUBlV/qdapn.Mastering.Performance.Analysis.with.perf.part2.rar.html https://fikper.com/6C9UlFcYNO/qdapn.Mastering.Performance.Analysis.with.perf.part3.rar.html https://fikper.com/y9IFS6ObPl/qdapn.Mastering.Performance.Analysis.with.perf.part1.rar.html No Password - Links are Interchangeable

pdf | 17.05 MB | English| Isbn:9789811297472 | Author: Lior Rokach | Year: 2024 Description: https://fileaxa.com/ik7tztc7w0p6 https://ddownload.com/buncyoglbmvl https://rapidgator.net/file/b1de3dd9ee97c61b8f61de8257cac7c2/ https://turbobit.net/s8kitb7zjxsk.html

Free Download Using AI to Generate Business Analysis Deliverables Released 10/2024 With Jamie Champagne MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m 48s | Size: 167 MB Learn how to use various generative AI technologies to facilitate business analysis work. Course details AI is quickly becoming a competitive advantage, and those who know how to take advantage of these capabilities in their daily work will not only succeed but will far surpass their competition. In this course, Jamie Champagne-business analysis professional speaker and trainer-will walk you through various generative AI technologies showing you the approach to take to have these emerging technologies facilitate business analysis work. Explore how AI apps can streamline your communications, enhance productivity, and help you verify and validate business analysis work while speeding the delivery of business analysis deliverables. Learn how to articulate the breadth and depth of generative AI applications, not only in areas of your work, but also in generating curiosity and motivation to include various applications in your business analysis work. Homepage https://www.linkedin.com/learning/using-ai-to-generate-business-analysis-deliverables Screenshot Rapidgator https://rg.to/file/ab73b47022f631ca7c58dbbd5691d7f6/xjnvs.Using.AI.to.Generate.Business.Analysis.Deliverables.rar.html Fikper Free Download https://fikper.com/chcUhMRyJa/xjnvs.Using.AI.to.Generate.Business.Analysis.Deliverables.rar.html No Password - Links are Interchangeable

Free Download Univariate analysis using R programming Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 18m | Size: 2.32 GB Calculate summary statistics of different data types, present them as tables, and create many plots from data. What you'll learn Install R and Rstudio Calculate summary statistics for numerical and categorical data using R Convert the results to readable tables using R Plot numerical data as histograms and box plots using R Plot categorical data as bar plots and tree maps using R Apply the above concepts on freely available datasets Requirements No programming language experience is needed. You will learn R and data analysis from scratch. Description Install R and R studio.Use R studio to explore data and present the results as tables with captions.Use R studio for calculating summary statistics for the location of numerical data (mean, median, and percentiles).Learn how to use the mean and median to deduce the data distribution.Use R studio for calculating summary statistics for the spread of numerical data (range, variance, standard deviation, and interquartile range). Learn how to interpret the measures of spread to identify your risk.Learn how to present the results of summary statistics as tables with captions.Use R studio for plotting histograms of numerical data. Learn how to interpret the data histogram to deduce the data distribution.Use R studio for plotting box plots of numerical data. Learn how to interpret the data box plot to deduce the data distribution and the different quantiles.Use R studio for calculating summary statistics of categorical data (count, proportion, and percentage).Use R studio for plotting bar plots of categorical data.Use R studio for plotting tree maps of categorical data.Learn how to use the bar plots and tree map to identify the most and least frequent categories.Learn how to customize the plots to produce different versions of the plot for the same data.Learn how to export the created plots to PDF or image or copy them to your clipboard to be included in your reports. Who this course is for Laymen persons who want to understand statistics and data analysis Students or fresh graduates who want to learn R and data analysis Academic professionals who want to learn statistics to understand the statistical part of published papers Homepage https://www.udemy.com/course/univariate-analysis-using-r-programming/ Screenshot Rapidgator https://rg.to/file/309cd2c8d5c14b1f84c70bd22923f531/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://rg.to/file/771cb8faee1829021547733e1a8d9e9f/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://rg.to/file/fac9de7db98fdb05349e84caff496db5/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html Fikper Free Download https://fikper.com/SldCHQmlXH/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://fikper.com/nN7NlgL6nA/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://fikper.com/uv4JqNVKS7/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Practical Earned Value Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 658.00 MB | Duration: 2h 20m 25 KPI's from 5 Simple Project Management Measurements What you'll learn Learn the procedures for developing 25 Project Management KPI's Find out how to extract them from basic project tracking data Use the KPI's for performance measurements and accountability in projects Use the KPI's for the control of cost and schedule plans and execution Use the KPI's for predicting performance and avoiding risks Improve communications between project teams by the use of standard indicators Requirements The course does not require major competence. Just highschool algebra and a working knowledge of Excel to allow you to manipulate all examples and calculations. Description Earned Value Analysis (EVA) is a computational technique that uses 5 key measurements in a project to generate more than 25 KPI's. These KPI's will give the stakeholders answers to such questions: where are we in time? Where are we in actual costs? How much can we earn? They will cover questions about the performance of a project, its rates, indices and percentages. More importantly, EVA KPI's can analyze projects so that specific indices can be use to inform the management about the possibility of correcting schedules or costs to meet the original plans.This course starts by explaining the 5 measurements and showing how EVA focuses on Earned Values EV, (often called Budgeted Cost of Work Performed (BCWP). This becomes the reference measure to compare planned values and actual costs. The course proceeds to present the 25 KPI's grouped under 6 lectures, each with its own detailed explanation, examples and most with accompanying Excel workbooks showing how the calculations takes place.The course does not require advanced pre-requisities. Plain arithmetic and some highschool algebra would be more than enough. As for Microsoft Excel, a working knowledge of this tool would be a great help to your manipulate that many workouts that are provided with the course. Overview Section 1: Introduction Lecture 1 Introduction to the Course and its Structure Lecture 2 Life before EVA and the 5 Measurements Section 2: The 25 Earned Value Analysis Indicators Lecture 3 Indicators 01 to 04 A Few Basic Indicators (SV, SPI, CV, CPI) Lecture 4 Indicators 05 to 09 Rates from PV, EV, AC and Time Lecture 5 Indicators 10 to 15 Time‑based EVA Indicators Lecture 6 Indicators 16 to 18 Percentages that Analyze Completion Lecture 7 Indicators 19 to 23 Estimates and Forecasts of Completion Lecture 8 Indicators 24 to 25 Indicators that Help to Complete a Delinquent Project Project Leaders and Managers,Contractors and suppliers,Planners,Budgeting personnel,Scheduling personnel,Auditors and Financial Controllers,Cost Analysts,Data Analysts involved in providing corporate analytics,IT personnel involved with Enterprise Project Management (EPM),Operations and Technical Managers,Students embarking on learning Project Management,Project Managers embarking on PMI certification (PMBOK and PMP),Senior Directors and Management,Project Team Members Screenshot Homepage https://www.udemy.com/course/practical-earned-value-analysis/ Rapidgator https://rg.to/file/e3b1ce69ed293b3aaf2eeb5b3db79c6c/btsxh.Practical.Earned.Value.Analysis.rar.html Fikper Free Download https://fikper.com/TjrXEWIMPA/btsxh.Practical.Earned.Value.Analysis.rar.html No Password - Links are Interchangeable

Free Download Udemy - Market Research & Analysis Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 668.03 MB | Duration: 2h 24m Entrepreneurial Series Part 2: Mastering Data-Driven Decisions What you'll learn Conduct in-depth market analysis using both qualitative and quantitative data. Identify emerging market trends and niche opportunities for growth. Leverage big data and social media analytics for consumer behavior insights. Develop effective competitive analysis strategies and strategic market positioning. Apply predictive analysis techniques to forecast market trends. Understand the ethics and best practices in market research. Requirements No formal prerequisites are required, but a basic understanding of business or marketing concepts is helpful. Beginners with an interest in data-driven decision-making and professionals who want to deepen their market analysis skills will find this course highly accessible. Description Market Research and Analysis: Mastering Data-Driven Decisions is the essential course for professionals and entrepreneurs who want to stay competitive in today's fast-paced, data-driven world. This course is the second instalment in the Entrepreneurial Skills series and is designed to help you grasp the essential concepts and tools for effective market analysis. Whether you're trying to predict the next big market trend or gain deeper insights into consumer behaviour, this course will equip you with the knowledge and strategies necessary to succeed.In this course, you'll learn how to perform in-depth market analysis using both qualitative and quantitative data. You'll understand how to leverage social media analytics to gain real-time insights into customer preferences and predict market trends using advanced data analysis techniques. Moreover, you'll explore ethical practices in market research and discover how to use competitive analysis to strategically position your business in the marketplace.Through case studies, real-world examples, and practical applications, you will learn how to turn data into actionable insights, helping you make informed decisions to drive growth.What is primarily taught in this course?Techniques for conducting thorough market analysis.Utilising big data and predictive analytics in market research.Consumer behaviour analysis through social media and other digital platforms.Competitive analysis and strategic positioning.Trend forecasting and identifying emerging markets.By the end of the course, you will have the confidence to conduct professional market research and apply your findings to create effective marketing strategies and business plans. Overview Section 1: Course introduction Lecture 1 Course introduction Section 2: Section 1 - Techniques for in-depth market analysis Lecture 2 Section 1 introduction - Techniques for in-depth market analysis Lecture 3 Lesson 1.1 - Introduction to in-depth market Lecture 4 Lesson 1.2 - Analytical frameworks and models Lecture 5 Lesson 1.3 - Key techniques for market Lecture 6 Section 1 conclusion Section 3: Section 2 - Identifying emerging trends and niche markets Lecture 7 Section 2 introduction - Identifying emerging trends and niche markets Lecture 8 Lesson 2.1 - Introduction to emerging trends Lecture 9 Lesson 2.2 - Strategies for identifying niche markets Lecture 10 Lesson 2.3 - Tools and resources for trend analysis Lecture 11 Section 2 conclusion Section 4: Section 3 - Utilising big data in market research Lecture 12 Section 3 introduction - Utilising big data in market research Lecture 13 Lesson 3.1 - The role of big data in market analysis Lecture 14 Lesson 3.2 - Techniques for collecting and analysing big data Lecture 15 Lesson 3.3 - Real-world applications of big data in market research Lecture 16 Section 3 conclusion Section 5: Section 4 - Consumer behaviour analysis Lecture 17 Section 4 introduction - Consumer behaviour analysis Lecture 18 Lesson 4.1 - Understanding consumer psychology Lecture 19 Lesson 4.2 - Methods for analysing consumer behaviour Lecture 20 Lesson 4.3 - Applying behaviour analysis to market strategies Lecture 21 Section 4 conclusion Section 6: Section 5 - Competitive analysis and strategic positioning Lecture 22 Section 5 introduction - Competitive analysis and strategic positioning Lecture 23 Lesson 5.1 - Conducting a competitive analysis Lecture 24 Lesson 5.2 - Identifying competitive advantages Lecture 25 Lesson 5.3 - Case studies on market positioning Lecture 26 Section 5 conclusion Section 7: Section 6 - Integrating social media analytics into market research Lecture 27 Section 6 introduction - Integrating social media analytics into market research Lecture 28 Lesson 6.1 - The power of social media in market research Lecture 29 Lesson 6.2 - Analysing social media data for market insights Lecture 30 Lesson 6.3 - Case Studies on social media analytics in action Lecture 31 Section 6 conclusion Section 8: Section 7 - Forecasting and predictive analysis in market research Lecture 32 Section 7 introduction - Forecasting and predictive analysis in market research Lecture 33 Lesson 7.1 - Introduction to forecasting models Lecture 34 Lesson 7.2 - Techniques for predictive analysis Lecture 35 Lesson 7.3 - Applying predictive analysis in market research Lecture 36 Section 7 conclusion Section 9: Section 8 - Developing and implementing effective survey strategies Lecture 37 Section 8 introduction - Developing and implementing effective survey strategies Lecture 38 Lesson 8.1 - Crafting effective surveys Lecture 39 Lesson 8.2 - Best practices for survey implementation Lecture 40 Lesson 8.3 - Analysing survey data Lecture 41 Section 8 conclusion Section 10: Section 9 - Ethics and best practices in market research Lecture 42 Section 9 introduction - Ethics and best practices in market research Lecture 43 Lesson 9.1 - Ethical considerations in market research Lecture 44 Lesson 9.2 - Ensuring data privacy and consent Lecture 45 Lesson 9.3 - Establishing best practices Lecture 46 Section 9 conclusion Section 11: Course conclusion. Lecture 47 Course conclusion Aspiring entrepreneurs who need to understand their market before launching a product.,Marketing professionals who want to improve their data analysis skills.,Business owners seeking to stay competitive by understanding emerging trends.,Data enthusiasts and professionals interested in utilising big data for market insights. Screenshot Homepage https://www.udemy.com/course/entrepreneurial-series-part-2-market-research-analysis/ Rapidgator https://rg.to/file/b4b10c81679f5bcde8dd01d8da3d3b0c/qzjer.Market.Research..Analysis.rar.html Fikper Free Download https://fikper.com/fyjoYSPyt6/qzjer.Market.Research..Analysis.rar.html No Password - Links are Interchangeable

Free Download Technical Analysis Masterclass by Sagar Sharma Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.89 GB | Duration: 1h 27m Learn to Predict Market Trends, Identify Profitable Trades, and Make Confident Financial Decisions. What you'll learn Identify Key Chart Patterns such as head & shoulders, flags, triangles, and candlesticks to predict price movements. Analyze Market Trends using support, resistance levels, and moving averages to make data-driven trading decisions. Understand and Apply Key Technical Indicators like RSI, MACD, Bollinger Bands, and Stochastic Oscillator for accurate market forecasting. Execute Precise Entry and Exit Points with trendlines, retracement levels, and momentum indicators for optimal trade timing. Develop Risk Management Strategies to protect your capital and minimize losses through stop-loss techniques and position sizing. Interpret Candlestick Patterns like Doji, Marubozu, and engulfing patterns to capture market sentiment and plan trades accordingly. Master Trendline Breakouts and identify false signals to enhance your trading consistency and profitability. Conduct Volume Analysis to confirm price trends and understand market parti[beeep]tion behind price movements. Adapt Technical Analysis to Various Market Conditions, including sideways, bullish, and bearish environments, for maximum flexibility. Gain Confidence in Making Informed Trading Decisions, leveraging real-time charts and technical tools to refine your trading strategies. Requirements No background needed in programming, coding or finance. Description This course is designed to give you a comprehensive understanding of technical analysis in stock market trading. Whether you're a beginner or someone looking to enhance their skills, this masterclass will equip you with the knowledge and tools to analyze market trends and make informed trading decisions.You will explore chart patterns, candlestick formations, and essential technical indicators such as RSI, MACD, Bollinger Bands, and moving averages. By the end of the course, you'll be able to identify entry and exit points with precision, understand market psychology, and develop strategies for both short-term and long-term trading.With hands-on exercises and real-time market examples, you'll gain practical experience in applying these techniques to maximize your trading potential and manage risks effectively. Learn how to combine various indicators, read price action signals, and adapt your strategies to different market conditions for better results.This course is ideal for traders, investors, and anyone interested in learning how to apply technical analysis to make smarter financial decisions.Key Topics Covered:Candlestick patterns & chart analysisSupport and resistance identificationTrendlines and breakout strategiesKey technical indicators: RSI, Bollinger Bands, MACD, and moreRisk management strategies to protect your investmentsWhether you're trading stocks, commodities, or crypto, this course will give you the skills to confidently approach the market with the mindset of a professional. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Trends - The centre of all kind of technical analysis Lecture 2 Trends - The centre of all kind of technical analysis Section 3: The anatomy of Candlesticks Lecture 3 The anatomy of Candlesticks Lecture 4 Candlestick patterns Section 4: Secret strategy for identifying suitable entry & exit points Lecture 5 Secret strategy for identifying suitable entry & exit points Section 5: Step by Step Technical Analysis Lecture 6 Step by Step Technical Analysis Section 6: Support and Resistance Levels Lecture 7 Support and Resistance Levels Section 7: Using Chartink Scanner for technical analysis Lecture 8 Using Chartink Scanner for technical analysis Traders, Investors, Brokers, Employees, Professionals, Businessmen, Home Makers Screenshot Homepage https://www.udemy.com/course/technical-analysis-masterclass-y/ Rapidgator https://rg.to/file/0a035291f6d892eacfa2a7bd310e1e20/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part3.rar.html https://rg.to/file/5875c106c7cb16690ae8ef70fe7e32da/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part1.rar.html https://rg.to/file/9ab65d48e5206fc41d63989c51cb888d/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part2.rar.html Fikper Free Download https://fikper.com/7ifIWFcvRV/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part3.rar.html https://fikper.com/PZXQZERN6i/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part2.rar.html https://fikper.com/ukBXPfuQ3E/pmnxd.Technical.Analysis.Masterclass.by.Sagar.Sharma.part1.rar.html No Password - Links are Interchangeable

Free Download Technical Analysis Masterclass Unlock Profit Potential 2024 Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 6.91 GB | Duration: 11h 22m Technical Analysis: Chart Pattern Trading and Candlestick Trading Tactics for Maximum Day Trading, Swing Trading Profits What you'll learn Master The Most Profitable Technical Analysis Strategies, Chart Patterns and Candlesticks With Real World Examples Included! Dedicated Support from the Course Instructors and the Learning Community. 100% Questions Answered Within 24 Hours! How to Build a Solid Strong Technical Analysis Foundation for Day Trading & Swing Trading! How to Read & Analyze a Candlestick Chart How to Trade Levels, Trend Lines & Price Channels How to Trade Support & Resistance Levels How to Trade Fibonacci & Fib Extensions How to Perform Multiple Time Frame Analysis How to Perform Volume Analysis How to Stop Loss & Protect Your Profits How to Use Technical Indicators to Quickly Identify Market Trends & Directions How to Trade Exponential Moving Averages (EMA) How to Trade Moving Average Convergence Divergence (MACD) How to Trade Parabolic Stop and Reverse (Parabolic SAR) How to Trade Average Directional Index (ADX) How to Trade Bollinger Bands (BB) How to Trade Keltner Channels (KC) How to Trade Donchian Channels (DC) How to Trade Average True Range (ATR) How to Trade Relative Strength Index (RSI) How to Trade Stochastic Oscillator (SO) How to Trade Chande Momentum Oscillator (MO) How to Trade Commodity Channel Index (CCI) How to Trade On Balance Volume (OBV) How to Trade Chaikin Money Flow (CMF) How to Trade Money Flow Index (MFI) How to Trade The Best Performing Chart Patterns How to Trade Double Tops and Bottoms How to Trade Rounding Tops and Bottoms How to Trade Broadening Tops and Bottoms How to Trade Bump & Run Reversal Tops and Bottoms How to Trade Diamond Tops and Bottoms How to Trade Head and Shoulders How to Trade Wedges and Triangles How to Trade Flags and Pennants How to Trade Rectangle Tops and Bottoms How to Trade Cup and Handle How to Trade Dead Cat Bounce How to Trade The Best Candlestick Patterns How to Trade Doji & Spinning Top Patterns How to Trade Bullish & Bearish Belt Hold Patterns How to Trade Green & Red Marubozu Patterns How to Trade Hammer & Hanging Man Patterns How to Trade Inverted Hammer & Shooting Star Patterns How to Trade Bullish & Bearish Harami Patterns How to Trade Bullish & Bearish Engulfing Patterns How to Trade Dark Cloud Cover & Piercing Patterns How to Trade Bullish & Bearish Kicking Patterns How to Trade Falling & Rising Window Patterns How to Trade Tweezer Top & Bottom Patterns How to Trade Three White Soldiers & Three Black Crows Patterns How to Trade Morning Star & Evening Star Patterns How to Trade Bullish & Bearish Abandoned Baby Patterns How to Trade Three Inside Up & Down Patterns How to Trade Three Outside Up & Down Patterns And a lot more... Requirements A FREE TradingView Account for Chart Analysis Strong desire of Getting Rich and Retiring Early Passion and Enthusiasm for Learning Don't Skip Any Lessons (All lessons are important!) No Fundamental or Technical Knowledge required to take this course! Everyone can Learn to Become Successful in the Stock Market! Description Finally, You'll Supercharge Your Trading Strategies with Technical Analysis & Unlock Profitable Trading Secrets. Get Results or Your Money Back! Imagine waking up each day with the confidence and knowledge to execute profitable trades. No more second-guessing or missed opportunities. You have the power to make a positive change in your trading results. The world of trading can be a rollercoaster ride of emotions. One minute you're on top of the world, and the next minute you're staring at your screen in disbelief as your profits evaporate. But it doesn't have to be this way. Day trading is like a puzzle, and technical analysis is the missing piece that brings everything together. Without it, your trades may lack direction and lead to unnecessary losses. And that's where we come in. As seasoned traders with over a decade of experience, we've learned the ins and outs of technical analysis, and we're here to share our secrets with you in this Technical Analysis Masterclass. This comprehensive course is designed to bring you from knowing nothing about technical analysis to becoming a real master trader and winning 80% of your trades in just a matter of weeks. You'll master how to use advanced technical indicators and oscillators that every trader must know to predict the market. These tools will bring you the confidence and capability to successfully trade in any market conditions. You'll also learn how to trade the best-performing candlesticks and chart patterns to identify potential trend reversals and breakouts. By knowing these hacks, you can easily power your trading strategies for bigger gains. We'll also talk hacks like secret trading tactics, how to read and analyze a candlestick chart effectively, how to perform multiple time frame analyses, volume analysis, and a hell of a lot more... Imagine a future where you wake up each day excited to check your trades, knowing that you have the knowledge and confidence to succeed. Don't miss out on this opportunity to achieve your next-level profit! Join us in this Technical Analysis Masterclass today and you'll unlock profitable trading secrets and elevate your trading game to the next level! Here's what you'll learn in this course Master The Most Profitable Technical Analysis Strategies, Chart Patterns, and Candlesticks With Real World Examples Included! How to Build a Solid Strong Technical Analysis Foundation for Day Trading & Swing Trading! How to Read & Analyze a Candlestick Chart How to Trade Levels, Trend Lines & Price Channels How to Trade Support & Resistance Levels How to Trade Fibonacci & Fib Extensions How to Perform Multiple Time Frame Analysis How to Perform Volume Analysis How to Stop Loss & Protect Your Profits How to Use Technical Indicators to Quickly Identify Market Trends & Directions How to Trade Exponential Moving Averages (EMA) How to Trade Moving Average Convergence Divergence (MACD) How to Trade Parabolic Stop and Reverse (Parabolic SAR) How to Trade Average Directional Index (ADX) How to Trade Bollinger Bands (BB) How to Trade Keltner Channels (KC) How to Trade Donchian Channels (DC) How to Trade Average True Range (ATR) How to Trade Relative Strength Index (RSI) How to Trade Stochastic Oscillator (SO) How to Trade Chande Momentum Oscillator (MO) How to Trade Commodity Channel Index (CCI) How to Trade On Balance Volume (OBV) How to Trade Chaikin Money Flow (CMF) How to Trade Money Flow Index (MFI) How to Trade The Best Performing Chart Patterns How to Trade Double Tops and Bottoms How to Trade Rounding Tops and Bottoms How to Trade Broadening Tops and Bottoms How to Trade Bump & Run Reversal Tops and Bottoms How to Trade Diamond Tops and Bottoms How to Trade Head and Shoulders How to Trade Wedges and Triangles How to Trade Flags and Pennants How to Trade Rectangle Tops and Bottoms How to Trade Cup and Handle How to Trade Dead Cat Bounce How to Trade The Best Performing Candlestick Patterns How to Trade Doji & Spinning Top Patterns How to Trade Bullish & Bearish Belt Hold Patterns How to Trade Green & Red Marubozu Patterns How to Trade Hammer & Hanging Man Patterns How to Trade Inverted Hammer & Shooting Star Patterns How to Trade Bullish & Bearish Harami Patterns How to Trade Bullish & Bearish Engulfing Patterns How to Trade Dark Cloud Cover & Piercing Patterns How to Trade Bullish & Bearish Kicking Patterns How to Trade Falling & Rising Window Patterns How to Trade Tweezer Top & Bottom Patterns How to Trade Three White Soldiers & Three Black Crows Patterns How to Trade Morning Star & Evening Star Patterns How to Trade Bullish & Bearish Abandoned Baby Patterns How to Trade Three Inside Up & Down Patterns How to Trade Three Outside Up & Down Patterns And a lot more... What is more? Lifetime access to all course materials and updates In-depth lessons on market analysis, risk management, and trade execution Access to charting tools and resources to boost your trading performance Get dedicated support from the course Instructors and the learning community anytime you need it! So let me ask you this... Will your investment portfolio grow much faster in the next 12 months after mastering how to make 80% of your trades profitable ... Do you have some money to invest? Are you reasonably intelligent? Does your family need extra care or support? Are you willing to learn a new skill that guarantees you a second income for the rest of your life? Would you like to work less and make more? I will assume your answers are the same as mine... Then You Have 2 Clear Choices 1. Keep doing things the way you have been and remain frustrated, lose money, and simply get used to your average life... or 2. Enroll in the Technical Analysis Masterclass and start trading the smart way, quadruple your wealth, and never worry about money ever again. Now You Have a Big Chance to Upgrade Your Technical Analysis Skills Listen, if you don't get how important technical analysis is then don't enroll in this program. Keep shlepping away in the same manner you have been, maybe you'll get a different result :) In that case, you're going to wake up 6 months from now, with everything still very much the same as it is today - don't know how to trade, have no clue about what's going on with your money, stress, feel frustrated. you know how it goes. Is that what you want for yourself? No. I don't want that for you either. which is why I want you to do something right now. Sign up for this course, master technical analysis, and start earning extra income online from home today. Join us in this Technical Analysis Masterclass today and you'll unlock profitable trading secrets and elevate your trading game to the next level! Who this course is for If you are serious about Making Money Online by investing in the Stock Market, this course is for you! If you want to Create a New Source of Passive Income, you've come to the right place! If you want to find a Trading Strategy that Actually Works, you should not ignore this course! If you are learning about Technical Analysis, this course will be a Shortcut! This course is for EVERYONE, who wants to Get Rich by Investing in the Stock Market. 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Free Download Special Situations Analysis And Valuation Techniques Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.61 GB | Duration: 2h 37m Unlock the secrets of special situations in finance with our comprehensive course on analysis and valuation techniques. What you'll learn Fundamental Concepts of Special Situations: Understand the definition and characteristics of special situations in finance, including mergers, acquisitions. Forecasting Techniques: Develop skills to accurately forecast outcomes in special situations, identifying key variables and risks that affect valuations. Types of Special Situations: Explore various categories of special situations, such as IPOs and private equity investments, along with their unique investment. Excel-Based Valuation Methods: Gain hands-on experience using Excel to apply both subtraction and addition methods for asset valuation. Analyzing Turnaround Stories: Learn how to identify and evaluate potential turnaround investments, examining real-world case studies to understand the factors. Valuation Principles: Master various valuation methodologies and techniques, including dos and don'ts, to ensure accurate and effective valuation. Practical Application: Apply theoretical concepts in practical scenarios, enhancing analytical skills through case studies and Excel calculations. Requirements Basic Understanding of Finance: Students should have a foundational knowledge of financial concepts, including an understanding of financial statements, investment principles, and market dynamics. Familiarity with Excel: Proficiency in Microsoft Excel is essential, as the course includes hands-on exercises and calculations using Excel for valuation methods and financial modeling. Statistical Knowledge: A basic understanding of statistical concepts may be beneficial, particularly for forecasting and analyzing financial data. Interest in Corporate Finance: A keen interest in corporate finance and investment analysis will enhance the learning experience and engagement with course materials. Description In the ever-evolving world of finance, special situations present unique investment opportunities that can yield substantial returns if approached with the right analytical skills. This course, "Navigating Special Situations: Analysis and Valuation Techniques," offers a deep dive into the art and science of evaluating special situations such as mergers, acquisitions, IPOs, and turnaround stories. Designed for finance professionals, investors, and students, this course combines theoretical knowledge with practical Excel-based calculations to equip parti[beeep]nts with the tools necessary for effective decision-making in complex financial scenarios.Section 1: IntroductionIn this opening section, students are introduced to the fundamental concepts of analyzing and valuing special situations. The first lecture sets the stage for the course, outlining its objectives and the importance of understanding these unique investment scenarios. Parti[beeep]nts will gain insight into how special situations differ from traditional investments, providing a framework for more complex analyses.Section 2: OverviewThis section provides an overview of the forecasting methods used when evaluating special situations. Lecture 2 emphasizes the importance of accurate forecasting and the challenges associated with predicting outcomes in unique financial contexts. Students will learn to identify key factors that influence the success of special situations and how to approach them analytically.Section 3: Types of Special SituationsIn this critical section, students explore various types of special situations in depth. Lectures cover IPOs, private equity investments, and more, providing students with a comprehensive understanding of each type. By examining the characteristics and potential pitfalls of different scenarios, parti[beeep]nts will be better prepared to identify viable investment opportunities.Section 4: Excel Calculations - Subtraction MethodFocusing on practical skills, this section teaches students how to utilize the subtraction method for valuation calculations in Excel. Parti[beeep]nts will learn to analyze consolidated income statements and revenue segments, gaining hands-on experience with financial modeling. The lectures emphasize the importance of accurate data analysis in making informed investment decisions.Section 5: Excel Calculations - Addition MethodContinuing with Excel-based skills, this section delves into the addition method for valuation calculations. Students will explore how to apply this technique in real-world scenarios, enhancing their proficiency in financial analysis and valuation techniques. The focus remains on practical application, enabling parti[beeep]nts to apply their knowledge effectively.Section 6: Analyzing Turnaround Stories and Turnaround ExampleThis section explores the fascinating world of turnaround stories in business. Through lectures on analyzing these cases, students will learn how to identify potential turnaround investments and evaluate their viability. The lectures provide real-world examples, allowing parti[beeep]nts to apply their analytical skills in practical situations and understand the dynamics behind successful turnarounds.Section 7: ValuationsIn this crucial section, students dive deep into the principles of valuation. The lectures cover various valuation methods, including dos and don'ts that practitioners should keep in mind. This section reinforces the skills learned in previous sections, tying together analysis and valuation techniques to provide a holistic understanding of special situations in finance.Section 8: ConclusionThe course wraps up with a concluding lecture that reinforces the key concepts learned throughout the course. Students will reflect on their understanding of special situations and their analytical capabilities, preparing them to apply their newfound knowledge in real-world financial contexts. This section encourages parti[beeep]nts to think critically about future investments and the unique opportunities special situations present.Conclusion:"Navigating Special Situations: Analysis and Valuation Techniques" offers a unique opportunity for finance professionals and enthusiasts to sharpen their analytical skills and deepen their understanding of complex investment scenarios. By combining theoretical knowledge with practical Excel applications, this course prepares students to identify, analyze, and capitalize on special situations, ultimately enhancing their investment strategies and career prospects in the dynamic world of finance. Join us to unlock the potential of special situations and elevate your investment acumen!4o mini Overview Section 1: Introduction Lecture 1 Introduction to Analysis and Valuations of Special Situations Section 2: Overview Lecture 2 Overview of Forecasting a Special Situation Section 3: Types of Special Situations Lecture 3 Types of Special Situations Lecture 4 Types of Special Situations Continues Lecture 5 Special Situations - IPO Lecture 6 Special Situations - Private Equity Section 4: Excel calculations - Subtraction Method Lecture 7 About the Company Lecture 8 Excel Calculations - Subtraction Method Lecture 9 Consolidated Income Statement Lecture 10 Revenue Combined Segment Lecture 11 Revenue Combined Segment Continue Lecture 12 More on Revenue Combined Segment Section 5: Excel Calculations - Addition Method Lecture 13 Excel Calculations - Addition Method Lecture 14 Excel Calculations - Addition Method Continue Section 6: Analyzing Turnaround Stories and Turnaround Example Lecture 15 Analyzing Turnaround Stories Lecture 16 Turnaround Example Lecture 17 Turnaround Example Continue Section 7: Valuations Lecture 18 Valuations Lecture 19 Valuations Continue Lecture 20 More on Valuation Lecture 21 Dos and Donts Section 8: Conclusion Lecture 22 Conclusion Finance Professionals: Individuals working in finance, investment banking, or corporate finance who seek to deepen their understanding of special situations and enhance their analytical skills for better decision-making.,Investment Analysts: Aspiring or current investment analysts looking to improve their valuation techniques and learn about unique investment opportunities presented by special situations.,Corporate Executives: Business leaders and executives aiming to comprehend the financial implications of special situations, such as IPOs, mergers, or restructuring, to make informed strategic decisions.,Students in Finance or Business Programs: Undergraduate and graduate students pursuing degrees in finance, business, or economics who wish to gain practical insights into real-world valuation scenarios.,Private Equity and Venture Capital Professionals: Individuals in private equity or venture capital who need to assess and evaluate investments in special situations, such as turnaround companies or startups. 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Free Download Risk Identification, Monitoring, and Analysis for SSCP Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 310 MB | Duration: 1h 11m 4s The SSCP is ideal for IT administrators, managers, directors, and network security professionals responsible for the hands-on operational security of their organization's critical assets. In this course, Risk Identification, Monitoring, and Analysis for SSCP, you'll learn to manage risk in an information and technology organization. First, you'll explore the risk management process. Next, you'll discover how to assess and respond to risk. Finally, you'll learn how to monitor risk to improve the risk management process. When you're finished with this course, you'll have the skills and knowledge of risk identification, monitoring, and analysis for SSCP needed for the SSCP exam. Homepage https://www.pluralsight.com/courses/risk-id-monitoring-analysis-sscp-2024-cert Rapidgator https://rg.to/file/c00c00a25dbf4c1b927c808523b43b0e/iimxz.Risk.Identification.Monitoring.and.Analysis.for.SSCP.rar.html Fikper Free Download https://fikper.com/ushUWKssDE/iimxz.Risk.Identification.Monitoring.and.Analysis.for.SSCP.rar.html No Password - Links are Interchangeable

Free Download Risk Analysis Techniques And Applications Across Industries Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 799.41 MB | Duration: 2h 36m Unlock the secrets to successful risk management and make smarter, data-driven decisions in any industry! What you'll learn Fundamentals of Risk: Understanding the concept of risk, its types, and how it impacts businesses. Introduction to risk analysis, including the processes. Qualitative and Quantitative Risk Analysis: How to assess risks qualitatively, including using expert judgment and qualitative tools. Industry-Specific Risks: Analyzing risks that are specific to industries, including external and internal factors that affect industries and key drivers. Business Risks: Exploring different types of business risks, both internal and external, and their impact on operations, strategic planning. Financial Risks: Identifying and understanding financial risks, including how to assess financial statements, ratios, and other financial indicators. Management Risks: Analyzing management risks, focusing on corporate governance, leadership transparency, and succession planning. Project Risks: Understanding project-specific risks, including project evaluation, risk components, and the importance of project risk management Risk Analysis Case Studies: Practical application of risk analysis methods through real-world case studies, like the Daimler risk analysis. By the end of this course, students will be equipped with both theoretical knowledge and practical tools for identifying, analyzing, and managing. Requirements Basic Business Knowledge: A fundamental understanding of business principles, especially in areas like operations, finance, and strategic planning. Familiarity with Financial Concepts: A basic understanding of financial statements, ratios, and accounting concepts is helpful but not mandatory. This knowledge will assist students in understanding financial risks more easily. Mathematical Proficiency: While the course will guide you through quantitative methods, a basic grasp of statistics and probability will be beneficial for understanding risk models and performing quantitative risk analysis. Interest in Risk Management: A keen interest in identifying, analyzing, and managing business, financial, project, and industry risks. No Specific Software Requirements: The course does not require specific software skills; however, familiarity with Excel or other basic tools used for analysis may be helpful for understanding certain concepts, especially for quantitative analysis. Open Mindset for Case Studies and Practical Applications: Students should be ready to engage in real-world case studies, applying theoretical concepts to practical risk management scenarios. Description In the rapidly evolving business world, understanding and mitigating risks is crucial to sustainable success. This comprehensive course is designed to provide you with the skills necessary to perform effective risk analysis across different industries and business functions. From basic concepts to advanced methodologies, you will learn how to identify, analyze, and manage various types of risks-whether financial, business, management, or project-related. With a blend of theoretical understanding and practical case studies, this course is an essential tool for professionals looking to strengthen their risk management strategies and make informed decisions.Section 1: Introduction To Risk AnalysisThe first section sets the foundation for understanding risk analysis. Students will explore the essential definitions of risk and risk analysis. You will learn the basic concepts behind identifying potential risks and how analyzing them plays a critical role in business decision-making. The section also introduces the importance of risk management and its applicability across industries and business functions.Section 2: Dealing With RisksIn this section, students dive deeper into risk analysis techniques, starting with qualitative methods, which assess risks based on subjective judgment and experience. Moving into quantitative methods, learners will explore how to apply statistical models to measure and manage risk. The section also highlights the development of risk models and outlines the risk analysis process in detail, enabling students to make data-driven decisions and effectively mitigate risks.Section 3: Types Of Risks - Industry RisksThis section introduces industry-specific risks, focusing on the factors that influence different sectors. Students will examine the unique risks each industry faces, including economic factors, regulatory changes, and market dynamics. By understanding the drivers of industry risks, students will gain a holistic view of how external forces impact businesses and how risk analysis can be applied to navigate these challenges.Section 4: Types Of Risks - Business RisksThis section focuses on business-specific risks, categorizing them into internal and external risks. Learners will understand how operational, strategic, and market risks can affect business operations. You will also explore risk factors like competition, market shifts, and supply chain vulnerabilities. The goal is to help students develop an integrated approach to assessing and managing business risks, ensuring long-term stability and growth.Section 5: Types of Risks - Financial RisksHere, the course dives into financial risks, focusing on components such as credit risk, market risk, and liquidity risk. Students will learn to use financial ratios and other tools to analyze and assess financial stability. By understanding the financial risks associated with investments, assets, and liabilities, you will be equipped to advise organizations on how to safeguard their financial health.Section 6: Types of Risks - Management RisksManagement risks are often overlooked but are crucial for business sustainability. In this section, students will explore risks arising from leadership decisions, organizational structure, and management competency. Topics include transparency, integrity, succession planning, and corporate governance. By the end of the section, students will be able to assess and mitigate risks associated with ineffective leadership and poor management practices.Section 7: Types of Risks - Project RisksFocusing on project management, this section introduces the concept of project risk and its importance in ensuring the success of initiatives. Students will learn about the components of project risk, such as scope, time, and cost risks, and how to perform a risk evaluation for project planning and execution. The section will help learners understand the key factors that contribute to project failure and how to mitigate those risks.Section 8: Risk Analysis Case StudyIn the final section, students apply their knowledge to a real-world case study: the risk analysis of Daimler. The case study will demonstrate how risk management strategies are implemented in a global company. Students will analyze risk data, identify key risk factors, and make recommendations for mitigating Daimler's business, financial, and project-related risks.Conclusion:By the end of this course, students will have mastered the essential concepts, tools, and techniques for analyzing risks across various domains, including industry, business, financial, management, and project risks. With the practical application of case studies and industry-specific examples, you'll be equipped to make informed decisions, minimize risks, and protect the long-term success of any organization. Overview Section 1: Introduction To Risk Analysis Lecture 1 Introduction To The Course Lecture 2 What Is Risk Lecture 3 What Is Risk Analysis Section 2: Dealing With Risks Lecture 4 Qualitative Risk Analysis Lecture 5 Quantitative Risk Analysis Lecture 6 What Is A Risk Model Lecture 7 Risk Analysis Lecture 8 Risk Analysis Process Section 3: Types Of Risks- Industry Risks Lecture 9 Meaning Of Industry Risk Lecture 10 Factors Affecting Industries Lecture 11 Drivers Of Industry Analysis Section 4: Types Of Risks- Business Risks Lecture 12 Meaning Of Business Risk Lecture 13 Internal And External Business Risks Section 5: Types of Risks- Financial Risks Lecture 14 Meaning of Financial risk Lecture 15 Components of Financial risk Lecture 16 Importance of ratios in analyzing financial risks Section 6: Types of Risks- Management Risks Lecture 17 Meaning of Management risks Lecture 18 Building management competency Lecture 19 Management transparency and integrity Lecture 20 Succession Planning Lecture 21 Corporate Governance Section 7: Types of Risks- Project Risks Lecture 22 Meaning of Project risk Lecture 23 Importance of project risk analysis Lecture 24 Components of Project risk Lecture 25 Project evaluation Section 8: Risk Analysis case study Lecture 26 Daimler risk analysis - part 1 Lecture 27 Daimler risk analysis - part 2 Business Analysts and Strategists: Professionals seeking to analyze and mitigate risks in business environments, from operations to market dynamics, will find this course valuable for strategic decision-making.,Financial Analysts and Risk Managers: Individuals working in finance or managing financial risks will benefit from understanding the different types of financial risks, including how to use ratios and risk metrics in analysis.,Project Managers and Team Leaders: This course is ideal for those involved in project management, providing tools to assess and manage project-specific risks, from execution to completion.,Entrepreneurs and Small Business Owners: Those running small businesses or starting new ventures can use this course to identify potential risks and implement strategies to safeguard their business.,Management Professionals: Managers looking to build stronger risk management frameworks within their organizations, including internal and external business risks.,Students of Business, Finance, and Economics: This course is suitable for university students or recent graduates looking to build a foundation in risk analysis as it relates to real-world business applications.,Anyone Interested in Risk Management: If you're passionate about learning how to identify, assess, and mitigate risks in any aspect of business or industry, this course is for you. 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Free Download Quantitative Analysis of Data Using SPSS V29 Published 10/2024 Created by Alain Tannous MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 19m ) | Size: 1.93 GB Quantitative Analysis, SPSS Software, Tests and Conclusions What you'll learn Explain the six SPSS windows and their specific uses. Calculate the mean, sum, standard deviation, variance, and more. Examine relationships using Scatter Plot and Scatter Plot Matrices. Test for Normality and Homoscedasticity. Explain numerical measures such as Central Location, Dispersion, Skewness, Kurtosis and Linearity. Identify and differentiate between the different forms of outcomes. Differentiate between the statistical types I and II errors. Construct a multiple regression model, identify its elements and list its assumptions. Learn to use the Ordinary Least Squares (OLS) regression method to estimate the coefficients. Define the Standard Error of Estimates (SEE), explain its role in regression model and understand its visual representation. Relate SEE to R-squared and the overall performance of the regression model. Define ANOVA, explain its assumptions and significance in regression analysis, set its hypotheses, conduct ANOVA analysis using SPSS and explain its outcomes. Formulate the null and alternative hypotheses. Conduct a statistical T-test to assess and interpret the significance of the coefficients. Define autocorrelation, identify its impact on regression models and test for autocorrelation using Durbin-Watson Test. Explain the importance of forecasting time series data and perform a forecast seasonal time series data using SPSS V29. Define MANOVA, explain its assumptions and significance in regression analysis, set its hypotheses, conduct MANOVA test using SPSS and explain its outcomes. Generate different tests related to MANOVA such as: Box's M Test, Hotelling's T Squared, Pillai's Trace Test and Wilk's Lambda Test. Formulate and test the hypotheses of all MANOVA tests using SPSS. Compose and test the hypotheses for Levene's Test of homogeneity of variances. Define Discriminant analysis and identify its variables, assumptions and hypotheses. Test for Multivariate Normality, Equality of Covariances and Vectors of Means. Perform a stepwise discriminant analysis and analyze its outcomes using the cross-validation method. Define logistic regression, identify its variables and assumptions, compose its hypotheses, perform a stepwise logistic regression test and analyze its outputs. Define the Prin[beeep]l Component Analysis (PCA), identify its key variables and assumptions, and conduct a PCA analysis following a detailed procedure on SPSS. Define Factor Analysis (FA), identify its assumptions, variables and hypotheses, and conduct all FA tests and analyze their outcomes. Define Cluster Analysis, identify its assumptions, variables and hypotheses, and conduct all FA tests and analyze their outcomes. Apply all tests using practical exercises on SPSS Requirements No prerequisites are required. You will learn all steps in this course. Description This course offers a detailed exploration of quantitative data analysis using SPSS V29, a powerful software tool widely used in research fields such as social sciences, business, healthcare, and education. Designed for both beginners and intermediate users, the course covers essential statistical techniques and guides learners through the process of managing, analyzing, and interpreting quantitative data. Over 4 hours and 20 minutes of recorded lectures, accompanied by PDF notes for each session, will introduce you to core concepts in data analysis, such as:Data entry, management, and cleaning techniques using SPSS V29Descriptive statistics, including measures of central tendency and variabilityInferential statistics such as t-tests, ANOVA, regression analysis, and chi-square testsMultivariate analysis techniques, including factor analysis, discriminant analysis, and cluster analysisReporting and interpreting statistical outputs effectivelyUsing visual tools like graphs and charts for data presentationThe course also includes SPSS data files for hands-on practice, ensuring that students gain practical experience working with real datasets.Additionally, a quiz at the end of each lesson allows students to assess their understanding and apply the skills learned. By the end of this course, parti[beeep]nts will be able to effectively use SPSS V29 to perform complex statistical analyses, create meaningful data visualizations, and report results professionally and clearly, equipping them with the tools needed for academic research or professional projects. Who this course is for Graduate and Postgraduate students who are engaged in writing their thesis or dissertation which is based on a quantitative analysis of data. Beginner researchers who require a tool to analyze their findings. 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Free Download Project Management Business Analysis and QA Engineering 2025 Published 10/2024 Created by Michael Nasonov MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 184 Lectures ( 48h 24m ) | Size: 24 GB Wide range lectures and lessons from project management to automastion engineering What you'll learn Learn complete IT Project Management Fundamentals Learn IT Business Analysis Fundamentals Learn IT Quality Assurance Management Fundamentals Learn programming languages: JS Java Python C Sharp Visual Basic Groovy Learn Quality Acceptance Engineering Frameworks Requirements no programming experience needed, this course is for any user level from "no experience" to "experienced" Description The course specifically designed for any user level from "no experience" to "experienced" who wants to expand, enforce and enhance personal well-rounded professional knowledge.The course designed to provide a user with well-weighted proportional ratio of practical involvement merged in combination with no-expiration methodology applicable knowledge.I structured and formatted this course the way that will serve students for years by generated and collected end-to-end applicable knowledge.Learn complete IT Project Management FundamentalsLearn IT Business Analysis Fundamentals with practiceLearn IT Quality Assurance Management FundamentalsApply basic-to-OOP programming languages: JS Java Python C Sharp Visual Basic GroovyParti[beeep]te in full scale demo trade company from-end website using HTML CSSPractically apply Selenium and Katalon IDE browser extensions followed by Katalon StudioPractically learn modern automation frameworks with Playwright and CypressImplement Cucumber Behaviour Driven Development Framework with data parameters for multiple data setsLearn and apply Robot Framework with practical applicable examplesLearn Database Fundamentals and create from scratchExplore Mainframe and take COBOL lessons from basic to file operationsLearn about Web Services and interact with Postman API and SOAP UIApply performance testing with J-MeterThe students who take this course, will be having good and interesting practical journey with time well implemented. 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Free Download Modern HR Generative AI, AI and Data Analysis in HR Published 10/2024 Created by GenMan Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 55m ) | Size: 658 MB Learn how Generative AI, predictive AI models and HR Data Analytics are transforming today's Human Resource Management What you'll learn Discover the key applications of Generative AI in HR and how it transforms recruitment, employee engagement, and learning processes. Explore how AI models can predict workforce trends and forecast HR outcomes to drive strategic decisions. Master the use of Generative AI to streamline the recruitment and selection process, from candidate sourcing to interview automation. Apply AI-driven text analysis techniques to enhance employee feedback systems and sentiment analysis. Implement data-driven HR strategies that leverage analytics to improve decision-making and workforce planning. Create predictive AI models that can assist in workforce forecasting and optimize HR resource allocation. Learn how HR metrics dashboards help track performance, retention, and engagement, turning raw data into actionable insights. Balance traditional HR intuition with data analytics to form well-rounded, strategic decisions in talent management and development. Requirements No prior experience with AI or data analytics is needed-just a basic understanding of HR functions, access to a computer, and a willingness to learn. Description Are you an HR professional looking to stay ahead in the rapidly changing world of human resources? Do you want to integrate cutting-edge technology into your HR strategy and revolutionize your approach to recruitment, employee engagement, and decision-making? As the HR landscape evolves, the ability to leverage AI and data analytics is not just a luxury but a necessity for the modern HR practitioner.In Modern HR: Generative AI, AI and Data Analysis in HR, you'll discover how transformative technologies like Generative AI, predictive AI models, and HR data analytics are reshaping HR operations. This course equips you with practical tools to harness these innovations, enabling you to lead HR initiatives with precision, efficiency, and insight.In this course, you will:Develop a foundational understanding of how Generative AI enhances recruitment, employee engagement, and learning and development processes.Master traditional AI techniques to build predictive models, forecast workforce trends, and conduct text analysis for HR tasks.Apply data analytics to make strategic HR decisions and balance data-driven insights with human intuition.Discover how to implement data-driven HR strategies that turn raw insights into meaningful actions.Identify the key metrics that will help you optimize workforce management and contribute to business goals.Why is this course so important? As organizations increasingly rely on technology to gain a competitive edge, HR professionals must evolve from administrative roles to strategic partners in the business. AI and analytics enable smarter, faster decision-making, improving everything from recruitment to employee retention and talent development.Throughout the course, you will engage in hands-on activities, including building AI models, analyzing HR data sets, and developing actionable insights that can be applied directly to your workplace. By the end, you'll not only understand these advanced technologies but also know how to leverage them to drive tangible results in your HR function.This course is different because it bridges the gap between core HR functions and advanced tech integration, designed specifically for HR professionals. Whether you're new to AI and data analytics or looking to deepen your expertise, this course provides a practical, step-by-step guide to mastering the future of HR.Ready to transform your HR career and become a leader in the digital era? Enroll now and start revolutionizing the way you manage your workforce! Who this course is for HR Managers who want to integrate AI and data analytics into their HR operations for more strategic decision-making. HR Analysts eager to master data analytics tools for actionable workforce insights and forecasting. HR Executives seeking to transform their department into a strategic, data-driven business partner. Learning & Development Professionals looking to optimize employee training programs with AI-powered personalization. Talent Acquisition Specialists who aim to streamline recruitment processes using Generative AI. Homepage https://www.udemy.com/course/modern-hr-generative-ai/ Screenshot Rapidgator https://rg.to/file/bfcd76a2df3c074fcd29d7bac6d5605c/ykucb.Modern.HR.Generative.AI.AI.and.Data.Analysis.in.HR.rar.html Fikper Free Download https://fikper.com/npSjMZXZU0/ykucb.Modern.HR.Generative.AI.AI.and.Data.Analysis.in.HR.rar.html No Password - Links are Interchangeable

Free Download Master Fundamental Analysis for Stock Market Success Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 12m | Size: 1.75 GB Unlock the Power of Financial Statements and Ratios to Build Winning Investment Strategies What you'll learn Analyze Financial Statements: Gain proficiency in reading income statements, balance sheets, and cash flow statements to evaluate company performance. Master Key Ratios: Learn to calculate and interpret financial ratios like P/E, ROE, and debt-to-equity for assessing profitability, liquidity, and solvency. Stock Valuation Models: Apply stock valuation techniques like DCF (Discounted Cash Flow) and intrinsic value models to determine a company's worth. Industry and Market Analysis: Understand how economic factors, industry trends, and market conditions affect stock value. Risk Management: Learn strategies to mitigate risks by diversifying portfolios and making informed, data-backed investment decisions. Investment Strategy Building: Develop a long-term investment strategy focused on growth, stability, and wealth creation. Predict Company Growth: Use financial data to estimate future company performance and growth potential. Decision-Making Skills: Improve your ability to make informed buy, hold, or sell decisions based on solid analysis. Competitive Analysis: Learn how to compare companies within the same industry to identify the best investment opportunities. Avoiding Value Traps: Discover red flags and warning signs of failing companies to steer clear of value traps. Requirements No programming background needed. No finance background needed Description Master Fundamental Analysis for Stock Market SuccessUnlock the power of fundamental analysis to make informed, strategic investments in the stock market. This comprehensive course is designed for beginner to intermediate investors eager to master the principles of evaluating a company's true value through its financial health, industry position, and broader economic factors.By learning how to analyze financial statements, calculate key financial ratios, and assess company performance, you will gain the confidence needed to pick winning stocks and achieve long-term investment success. Whether you're aiming to improve your personal portfolio or deepen your knowledge for professional growth, this course offers valuable insights.What You'll Learn:Interpret Financial Statements - Gain a thorough understanding of income statements, balance sheets, and cash flow statements.Key Financial Ratios - Calculate and apply ratios like P/E, ROE, and debt-to-equity to determine a company's financial health.Industry and Economic Analysis - Understand how broader market conditions affect a company's value and performance.Stock Valuation Techniques - Learn various models for valuing companies, from discounted cash flow (DCF) to intrinsic value analysis.Build a Long-Term Strategy - Develop a disciplined investment strategy focused on sustainable growth and wealth creation.Who This Course is For:New investors looking to gain confidence in stock selection.Intermediate traders wanting to deepen their financial analysis skills.Anyone interested in understanding the core drivers of a company's value.By the end of this course, you'll be equipped to make data-driven investment decisions, avoid costly mistakes, and build a successful investment portfolio. Who this course is for Investors, Traders, Brokers, Employees, Students, Home Makers, Entrepreneurs, Businessmen Homepage https://www.udemy.com/course/master-fundamental-analysis-for-stock-market-success/ Screenshot Rapidgator https://rg.to/file/5cc74059fe309d98a4e5169780b21d8c/ghydi.Master.Fundamental.Analysis.for.Stock.Market.Success.part2.rar.html https://rg.to/file/5d683aa19158e4b7bb2720b567f0d6c2/ghydi.Master.Fundamental.Analysis.for.Stock.Market.Success.part1.rar.html Fikper Free Download https://fikper.com/3MFJOZvgRs/ghydi.Master.Fundamental.Analysis.for.Stock.Market.Success.part1.rar.html https://fikper.com/bvZspHvd4J/ghydi.Master.Fundamental.Analysis.for.Stock.Market.Success.part2.rar.html No Password - Links are Interchangeable

Free Download Master Cluster Analysis And Unsupervised Learning [2024] Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.10 GB | Duration: 5h 27m Learn to Master Cluster Analysis and Unsupervised Learning for Data Science, Data Analysis, and Machine Learning[2024] What you'll learn Master Cluster Analysis and Unsupervised Learning both in theory and practice Master simple and advanced Cluster Analysis models Use K-means Cluster Analysis, DBSCAN, Hierarchical Cluster models, Prin[beeep]l Component Analysis, and more. Evaluate Cluster Analysis models using many different tools Learn advanced Unsupervised and Supervised Learning theory and be introduced to auto-updated Simulations Gain Understanding of concepts such as truth, predicted truth or model-based conditional truth Use effective advanced graphical tools to judge models' performance Use the Scikit-learn libraries for Cluster Analysis and Unsupervised Learning, supported by Matplotlib, Seaborn, Pandas, and Python Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources Requirements Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended Access to a computer with an internet connection Some Python skill is necessary and some experience with the Pandas library is recommended The course only uses costless software Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included Description Welcome to the course Master Cluster Analysis and Unsupervised Learning!Cluster Analysis and Unsupervised learning are one of the most important and defining tasks within machine learning and data science. Cluster Analysis and Unsupervised learning are one of the main methods for data scientists, analysts, A.I., and machine intelligences to create new insights, information or knowledge from data.This course is a practical and exciting hands-on master class video course about mastering Cluster Analysis and Unsupervised Learning.You will be taught to master some of the most useful and powerful Cluster Analysis and unsupervised learning techniques available...You will learn to:Master Cluster Analysis and Unsupervised Learning both in theory and practiceMaster simple and advanced Cluster Analysis modelsUse K-means Cluster Analysis, DBSCAN, Hierarchical Cluster models, Prin[beeep]l Component Analysis, and more.Evaluate Cluster Analysis models using many different toolsLearn advanced Unsupervised and Supervised Learning theory and be introduced to auto-updated SimulationsGain Understanding of concepts such as truth, predicted truth or model-based conditional truthUse effective advanced graphical tools to judge models' performanceUse the Scikit-learn libraries for Cluster Analysis and Unsupervised Learning, supported by Matplotlib, Seaborn, Pandas, and PythonCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work life.And much more.This course is an excellent way to learn to master Cluster Analysis and Unsupervised Learning!Cluster Analysis and Unsupervised Learning are considered exploratory types of data analysis and are useful for discovering new information and knowledge. Unsupervised Learning and Cluster Analysis are often viewed as one of the few ways for artificial intelligences and machine intelligences to create new knowledge or data information without human assistance or supervision, so-called supervised learning.This course provides you with the option to use Cloud Computing with the Anaconda Cloud Notebook and to learn to use Cloud Computing resources, or you may use any Python capable environment of your choice.This course is designed for everyone who wants tolearn to Master Cluster Analysis and Unsupervised LearningRequirements:Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionSome Python skill is necessary and some experience with the Pandas library is recommendedThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedThis course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Cluster Analysis, and Unsupervised Learning.Enroll now to receive 5+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course! Overview Section 1: Introduction Lecture 1 Overview and Introduction Lecture 2 Setup of the Anaconda Cloud Notebook Lecture 3 Download and installation of the Anaconda Distribution (optional) Lecture 4 The Conda Package Management System (optional) Section 2: Master Cluster Analysis and Unsupervised Learning Lecture 5 Overview Lecture 6 K-Means Cluster Analysis Lecture 7 Auto-updated K-Means Cluster Analysis, introduction and simulation Lecture 8 Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Lecture 9 Four Hierarchical Clustering algorithms Lecture 10 Prin[beeep]l Component Analysis (PCA) Everyone who wants to learn to Master Cluster Analysis and Unsupervised Learning Screenshot Homepage https://www.udemy.com/course/master-cluster-analysis-and-unsupervised-learning/ Rapidgator https://rg.to/file/6e4b156e83fe25ce89da3bfa50e9c74c/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part4.rar.html https://rg.to/file/bdd5db11f2996929ce4187d299349afb/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part1.rar.html https://rg.to/file/d1b3e06274b14f8fa6455e4aed9a5c2c/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part2.rar.html https://rg.to/file/f137b7d0a354c6b0bebd11186165faf4/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part3.rar.html Fikper Free Download https://fikper.com/NgBbfPmt9Z/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part3.rar.html https://fikper.com/OnyJxxkK9z/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part4.rar.html https://fikper.com/lgmo7Ch4Yd/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part1.rar.html https://fikper.com/n84rLXCGLg/xnrri.Master.Cluster.Analysis.And.Unsupervised.Learning.2024.part2.rar.html No Password - Links are Interchangeable

Free Download Learn Ai Tools For Research And Analysis Chatgpt, Zoreo Etc Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 765.65 MB | Duration: 0h 37m Using AI for research, analysis and presentation What you'll learn Learn how to use Ai to Analyze data and present it indifferent formats (likert scale, descriptive and inferential statistics formats) Understand the functions and versions of ChatGPT, and Zoreto for effective research and data analysis. Learn how to generate tailored prompts to optimize AI tools for academic research, data analysis, and trend predictions. Apply AI tools to real-life research and data projects, enhancing the efficiency of research workflows & improving accuracy in analysis with assignment session Master AI-driven methods for conducting literature reviews, citation analysis, and identifying impactful academic sources.l, free from plagiarism How to use Ai for data analysis and presentation Requirements Course Requirements: - Basic Computer Skills: Familiarity with navigating the internet, using web-based applications, and handling research data. - Interest in Research and Data Analysis: No prior knowledge of AI tools is necessary, but a basic understanding of research processes will be helpful. - Access to AI Tools: Parti[beeep]nts should have access to ChatGPT, Zotero, Scite, and Google AI, either through free trials or subscriptions. - Stable Internet Connection: Required for accessing online tools and performing research tasks using AI platforms. Willingness to Practice: Success in this course requires hands-on practice with prompt generation and data analysis through the AI tools. Description This comprehensive course offers an in-depth understanding of how artificial intelligence (AI) tools are revolutionizing research and data analysis across multiple fields, including healthcare, finance, social sciences, and more. You will gain a thorough understanding of the most effective AI tools, their key functions, and how to strategically utilize them to streamline research processes, automate data analysis, and derive valuable, actionable insights.Through a combination of theoretical foundations and practical examples, this course provides a holistic learning experience, making it suitable for students, professionals, and researchers from various disciplines, including academia, industry, and government. The course curriculum is carefully designed to cater to diverse learning needs, ensuring parti[beeep]nts develop essential skills to leverage AI tools for enhanced research outcomes.Key topics covered include:- AI-driven research design and methodology- Data preprocessing and visualization techniques- Structure reference and plagiarism free data analysis- Structuring questionnaire and Interviews with AI- Deep learning techniques for image analysisBy the end of this course, parti[beeep]nts will be able to:- Evaluate AI tools for research and data analysis- Apply AI-driven methods to streamline research workflows- Interpret results from AI-powered data analysis- Identify potential AI applications for research and prompt generation- Develop strategies for integrating AI into existing research frameworksWhether you're seeking to enhance your research skills, expand your professional toolkit, or explore AI's potential in your field, this course provides a unique opportunity to explore the transformative power of AI in research and data analysis. Overview Section 1: Using Ai tool for research and analysis Lecture 1 Introduction to Ai tool for research and analysis Section 2: Introduction Lecture 2 Introduction Section 3: Effective prompt generation Lecture 3 How to generate effective prompt from AI Section 4: Overview of zoreto Ai Lecture 4 Overview of zoreto Ai for research Section 5: Exploring Ai tools (ChatGPT interface) Lecture 5 Exploring ChatGPT interface Section 6: Maximize AI with literature review Lecture 6 Maximize AI tool for research, literature review and references Section 7: Exploring gpt to Lecture 7 Exploring gpt tools for various Section 8: Using Ai for data analysis Lecture 8 How to use Ai for data analysis Section 9: Using Ai tool for data presentation Lecture 9 Using Ai tool for data presentation Researchers - Data Analysts - Business Analysts: For those who need to analyze market trends, make data-driven decisions, and predict outcomes using AI tools. - AI Enthusiasts and Beginners: Anyone interested in learning how AI can be applied to research and analysis, from basic to advanced levels. -,Academicians (educators, lecturer, students, learners),Researchers,Those willing to write project research Screenshot Homepage https://www.udemy.com/course/learn-ai-tools-for-research-and-analysis-chatgpt-zoreo-etc/ Rapidgator https://rg.to/file/2dd142a26c373a9524d115671d79f03f/kzoms.Learn.Ai.Tools.For.Research.And.Analysis.Chatgpt.Zoreo.Etc.rar.html Fikper Free Download https://fikper.com/qo8t4qBbxj/kzoms.Learn.Ai.Tools.For.Research.And.Analysis.Chatgpt.Zoreo.Etc.rar.html No Password - Links are Interchangeable

Free Download Julia for Data Analysis, Video Edition MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.18 GB | Duration: 12h 30m In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. In Julia for Data Analysis you will learn how to Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualize your data Build predictive models Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage of this amazing language to read, write, transform, analyze, and visualize data-everything you need for an effective data pipeline. It's written by Bogumił Kamiński, one of the top contributors to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl. Its engaging hands-on projects get you into the action quickly. Plus, you'll even be able to turn your new Julia skills to general purpose programming! About the Technology Julia is a great language for data analysis. It's easy to learn, fast, and it works well for everything from one-off calculations to full-on data processing pipelines. Whether you're looking for a better way to crunch everyday business data or you're just starting your data science journey, learning Julia will give you a valuable skill. About the Book Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You'll start by reviewing language fundamentals as you practice techniques for data transformation, visualizations, and more. Then, you'll master essential data analysis skills through engaging examples like examining currency exchange, interpreting time series data, and even exploring chess puzzles. Along the way, you'll learn to easily transfer existing data pipelines to Julia. What's Inside Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs Screenshot Rapidgator https://rg.to/file/1f425d22b7163ecd8ee67dd75dd3febc/xyicy.Julia.for.Data.Analysis.Video.Edition.part1.rar.html https://rg.to/file/54a071a225545df363d522c9167ff12d/xyicy.Julia.for.Data.Analysis.Video.Edition.part2.rar.html https://rg.to/file/6f0242a59bb8bed416f537df24f12c6e/xyicy.Julia.for.Data.Analysis.Video.Edition.part3.rar.html Fikper Free Download https://fikper.com/4rdmqHsSHa/xyicy.Julia.for.Data.Analysis.Video.Edition.part3.rar.html https://fikper.com/NP7aX6al5l/xyicy.Julia.for.Data.Analysis.Video.Edition.part2.rar.html https://fikper.com/kD79Gq0EfN/xyicy.Julia.for.Data.Analysis.Video.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download How to do System of System Hazard Analysis with Mil-Std-882E Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 619.05 MB | Duration: 0h 59m Learn all about Task 209 and how to best perform it using my Expert Commentary What you'll learn Understand Task 209's Purpose Recognize and recall Task 209's Description Understand the Reporting and Contracting requirements for Task 209 Apply the Course Commentary to best exploit Task 209 Requirements No prior experience needed, although you will benefit from understanding basic concepts of System Safety. Description IntroductionHello everyone and welcome to the Safety Artisan. I'm Simon and today we're going to be talking about System of Systems Hazard Analysis - a bit of a mouthful. What does it mean? Well, we shall see.System of Systems Hazard AnalysisSo, for Systems of Systems Hazard Analysis, we're using task 209 as the description of what to do taken from a military standard, 882E. But to be honest, it doesn't matter whether you're doing a military system or a civil system, whatever it might be - if you've got a system of systems, then this will help you to do it.Topics for this SessionLet's see what's coming up. So, we look at the purpose of a system of systems - and by the way, if you're wondering what that is what I'm talking about is when we take different things that we've developed elsewhere, e.g. platforms, electronic systems, whatever it might be, and we put them together. Usually, with humans gluing the system together somewhere, it must be said, to make it all tick and fit together. Then we want this collection of systems to do something new, to give us some new capability, that we didn't have before. So, that's what I'm talking about when I say system of systems. I'll show you an example - it's the best way. So, we've got a couple of slides on task description, a couple of slides, or documentation, and a couple of slides on contracting. Task 209 is a very short task, and therefore I've decided to go through an example. So, we've got seven slides of an example of a system of systems, safety case and safety case report that I wrote. And hopefully, that will illustrate far better than just reading out the description. And that will also give us some issues that can emerge with systems of systems and I'll summarize those at the end.SOSHA PurposeSo, let's get on. I'm going to call it the SOSHA for short; Systems of Systems Hazard Analysis. The purpose of the SOSHA, task 209, is to document or perform and document the analysis of the system of systems and identify unique system of systems hazards. So, things we don't get from each system in isolation. This task is going to produce special requirements to deal with these hazards, which otherwise would not exist. Until we put the things together and start using them for something new - We've not done this before. Overview Section 1: Introduction Lecture 1 Introduction to the Course Section 2: Course Content Lecture 2 System of System Hazard Analysis with Mil-Std-882E Section 3: Get a Free Preview of the Next Courses in the Series Lecture 3 How to do Environmental Hazard Analysis with Mil-Std-882E Lecture 4 How to do Preliminary Hazard Identification with Mil-Std-882E Lecture 5 How to do Preliminary Hazard Analysis with Mil-Std-882E Beginners in Hazard Analysis, Safety Risk Assessment, Designers, Managers. Screenshot Homepage https://www.udemy.com/course/how-to-do-system-of-system-hazard-analysis-with-mil-std-882e/ Rapidgator https://rg.to/file/2a7e7d16702379ac1734d692113505f4/ozhbl.How.to.do.System.of.System.Hazard.Analysis.with.MilStd882E.rar.html Fikper Free Download https://fikper.com/RpQmf7QScL/ozhbl.How.to.do.System.of.System.Hazard.Analysis.with.MilStd882E.rar.html No Password - Links are Interchangeable

Free Download How To Do Health Hazard Analysis With Mil-Std-882E Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.12 GB | Duration: 1h 30m Understand Task 207 and Apply the Commentary to Optimize its Value and Effectiveness What you'll learn Learn the Purpose of Health Hazard Analysis (Task 207) Understand Task 207 Description Understand Task 207's Reporting and Contracting Requirements Apply the Value-adding Course Commentary to Optimize Health Hazard Analysis Requirements No prior experience needed, although you will benefit from understanding basic concepts of System Safety. Description IntroductionHello, everyone, and welcome to the Safety Artisan. I'm Simon, your host, and today we are going to be talking about health hazard analysis.Task 207: Health Hazard AnalysisThis is Task 207 in the Mil. standard, 882E approach, which is targeted for defense systems, but you will see it used elsewhere. The principles that we're going to talk about today are widely applicable. So, you could use this standard for other things if you wish.Topics for this SessionWe've got a big session today so I'm going to plough straight on. We're going to cover the purpose of the task; and the description; the task helpfully defines what a health hazard is; and says what health hazard analysis, or HHA, shall provide in terms of information. We talk about three specialist subjects: Hazardous materials or hazmat, ergonomics, and operating environment. Also, radiation is covered, another specialist area. Then we'll have some commentary from myself.Now the requirements of the standard of this task are so extensive that for the first time, I won't be quoting all of them, word for word. I've actually had to chop out some material, but I'll explain that when we come to it. We can work with that but it is quite a demanding task, as we'll see.Task PurposeLet's look at the task purpose. We are to perform and document a health hazard analysis to identify human health hazards and evaluate what it says, materials and processes using materials, etc, that might cause harm to people, and to propose measures to eliminate the hazards or reduce the associated risks. In many respects, it's a standard 882-type approach. We're going to do all the usual things. However, as we shall see it, we're going to do quite a lot more on this one. Overview Section 1: Introduction Lecture 1 Introduction to Health Hazard Analysis (Task 207) Section 2: Health Hazard Analysis (Task 207) Video Lecture 2 Health Hazard Analysis (Task 207) Section 3: Get a Free Preview of the next Course in the Series Lecture 3 Functional Hazard Analysis (Task 208) Lecture 4 Systems of Systems Hazard Analysis (Task 209) Lecture 5 Environmental Hazard Analysis (Task 210) Beginners in Hazard Analysis, Safety Risk Assessment, Designers, Managers. Screenshot Homepage https://www.udemy.com/course/how-to-do-health-hazard-analysis-with-mil-std-882e/ Rapidgator https://rg.to/file/56796b2ce79dd58702d67c20c772e1e8/ralkf.How.To.Do.Health.Hazard.Analysis.With.MilStd882E.part1.rar.html https://rg.to/file/5774a71da19ee75c1b74aaed4978a0cb/ralkf.How.To.Do.Health.Hazard.Analysis.With.MilStd882E.part2.rar.html Fikper Free Download https://fikper.com/gxgZhVrdlW/ralkf.How.To.Do.Health.Hazard.Analysis.With.MilStd882E.part1.rar.html https://fikper.com/ktQHThm7Cj/ralkf.How.To.Do.Health.Hazard.Analysis.With.MilStd882E.part2.rar.html No Password - Links are Interchangeable

Free Download How To Do Functional Hazard Analysis With Mil-Std-882E Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 551.83 MB | Duration: 1h 9m Understand Task 207 and Apply the Commentary to Enhance its Value and Effectiveness What you'll learn Learn the Purpose of Functional Hazard Analysis (Task 208) Understand Task 208 Description Understand Task 208's Reporting and Contracting Requirements Apply the Value-adding Course Commentary to Improve Functional Hazard Analysis Requirements No prior experience needed, although you will benefit from understanding basic concepts of System Safety. Description IntroductionHello, everyone, and welcome to the Safety Artisan. I'm Simon, your host, and today we will be talking about health hazard analysis.Task 207: Health Hazard AnalysisTask 207 in the Mil. standard, 882E approach, targeted for defense systems, but you will see it used elsewhere. The principles that we're going to talk about today are widely applicable. So, you could use this standard for other things if you wish.Topics for this SessionWe've got a big session today, so I will plow straight on. We will cover the purpose of the task; and the description; the task helpfully defines what a health hazard is; and says what health hazard analysis, or HHA, shall provide in terms of information. We talk about three specialist subjects: Hazardous materials or hazmat, ergonomics, and operating environment. Also, radiation is covered, another specialist area. Then we'll have some commentary from myself.Now the requirements of the standard of this task are so extensive that for the first time, I won't be quoting all of them, word for word. I've had to chop out some material, but I'll explain that when we come to it. We can work with that but it is quite a demanding task, as we'll see.Task PurposeLet's look at the task purpose. We are to perform and document a health hazard analysis to identify human health hazards and evaluate what it says, materials and processes using materials, etc, that might cause harm to people, and to propose measures to eliminate the hazards or reduce the associated risks. In many respects, it's a standard 882-type approach. We're going to do all the usual things. However, as we shall see it, we're going to do quite a lot more on this one. Overview Section 1: Introduction to the Course Lecture 1 Introduction Section 2: Functional Hazard Analysis (Task 208) Course Content Lecture 2 Task 208 Downloadable Course Video Section 3: Get a Free Preview of the Next Courses in the Series Lecture 3 System of Systems Hazard Analysis (Task 209) Preview Lecture 4 Environmental Hazard Analysis (Task 210) Preview Lecture 5 Preliminary Hazard Identification (Task 201) Preview Beginners in Hazard Analysis, Safety Risk Assessment, Designers, and Managers. Screenshot Homepage https://www.udemy.com/course/how-to-do-functional-hazard-analysis-with-mil-std-882e/ Rapidgator https://rg.to/file/fe02e0f699bdc5e927a0c11ea4c0183d/hhjeo.How.To.Do.Functional.Hazard.Analysis.With.MilStd882E.rar.html Fikper Free Download https://fikper.com/ipYEQnp2iZ/hhjeo.How.To.Do.Functional.Hazard.Analysis.With.MilStd882E.rar.html No Password - Links are Interchangeable

Free Download How To Do Environmental Hazard Analysis With Mil-Std-882E Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 913.68 MB | Duration: 1h 27m Learn all about Task 210 and how to best perform it using my Expert Commentary What you'll learn Understand Task 210's Purpose Recognize and recall Task 210's Description Understand the Reporting and Contracting requirements for Task 210 Apply the Course Commentary to best exploit Task 210 Requirements No prior experience needed, although you will benefit from understanding basic concepts of System Safety. Description IntroductionHi, everyone, and welcome to the Safety Artisan. Today, we're going to be talking about Environmental Hazard Analysis-a big topic! I'm covering this as part of the series on the System Safety Engineering Standard-Mil. Standard 882E. But it doesn't really matter what standard we are using; the topic is still relevant.So, environmental hazard analysis is a big topic because we will cover everything, not just hazards. At the end of this session, you should be able to enjoy three benefits. First of all, you should know how to approach Environmental hazard analysis both from the point of view of the requirements, the Hazard Analysis itself (the process), and some national and international variations in the English-speaking world. So, you should know how to do the basics and also to recognize when maybe you need to bring in a specialist. But maybe most important of all, number three is you should have the confidence to be able to get started. So I'm hoping that this session is going to help you get started, know what you can do, and then maybe recognize when you need to bring in some specialist help or go and seek some further information.As you'll see, it's a big, complex subject. I can get you started today, but that's all I can do in one session. And in fact, I think that's all anyone can do in one session. Anyway, let's get on with it and see what we've got.Environmental Hazard Analysis, Mil. Standard 882E Task 210Environmental Hazard Analysis, which is Task 210 under Mil. Standard 882E. So let's look at what we're going to talk about today.Topics for this SessionAnd you'll see why it's going to be quite a lengthy session. I think it will last an hour because we're going to go through the Purpose and Task Description of Environmental Hazard Analysis as set out in the Mil. Standard. And it says seven-plus slides because there are seven mainstream slides plus some illustrations in there as well. Then we've got a couple of slides each on Documentation, Hazardous Materials or HAZMAT, and Contracting. And then eight slides of Commentary and this is the major value add because I'll be talking about applying Environmental Hazard Analysis in a US, UK, and Australian jurisdiction under the different laws, of which I have some experience.I worked closely with environmental specialists on the Eurofighter Typhoon project, and I've also worked closely with the same specialists on US products bought by different countries. And then finally, I've been closely involved in a major environmental - or safety and environmental - project here in Australia. So I've been exposed and learned the hard way about how things work or don't work here in Australia. So I've got some relevant experience to share with you, as well as some learned material to share with you. And then a little Conclusion, because I say this will take us an hour so there's quite a lot of material to cover. So, let's get right on with it. Overview Section 1: Introduction Lecture 1 Introduction to Functional Hazard Analysis (Task 208) Section 2: Task 210 Course Video Lecture 2 Environmental Hazard Analysis, Part 1 Lecture 3 Environmental Hazard Analysis, Part 2 Lecture 4 Environmental Hazard Analysis, Part 3 Section 3: Get a Free Preview of the Next Courses in the Series Lecture 5 System of Systems Hazard Analysis (Task 209) Lecture 6 Preliminary Hazard Identification (Task 201) Lecture 7 Preliminary Hazard Analysis (Task 201) Beginners in Hazard Analysis, Safety Risk Assessment, Designers, Managers. Screenshot Homepage https://www.udemy.com/course/how-to-do-environmental-hazard-analysis-with-mil-std-882e/ Rapidgator https://rg.to/file/35004b8fc6bc9b8c1a1b851cc5306baa/knfbu.How.To.Do.Environmental.Hazard.Analysis.With.MilStd882E.rar.html Fikper Free Download https://fikper.com/w4RlT4Q6NT/knfbu.How.To.Do.Environmental.Hazard.Analysis.With.MilStd882E.rar.html No Password - Links are Interchangeable

Free Download Exploratory Data Analysis in Python, Pandas & Excel Published 10/2024 Created by Asim Noaman Lodhi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 2h 46m ) | Size: 1.56 GB Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome! What you'll learn Exploratory data analysis with Excel, Pandas & Python A course about how to approach a dataset for the first time How to perform EDA Analysis with Power Query Apply your skills to real-life business cases Data Analysis & Exploratory Data Analysis Requirements Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc) Description Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive B in Comprehensive Bootcamp. Step-by-step projects with clear explanations. EDA is an important step of data science and machine learning.With this course, the student will learn:How to visualize information that is hidden inside the datasetHow to visualize the correlation and the importance of the columns of a datasetSome useful Python librariesThis is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist.Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.Everyone who want to step into Data Science/Data Analytics. Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports.Resolve common issues in broken or incomplete data sets. Learn python in detail and get exposure. good luck and hands on python. Who this course is for Data analysts and business analysts Homepage https://www.udemy.com/course/exploratory-data-analysis-in-python-pandas-excel/ Screenshot Rapidgator https://rg.to/file/4289135d48d2e35b67df8c740aeeb5a2/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part2.rar.html https://rg.to/file/7c4910b6578881ce5ec5c76448691965/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part1.rar.html Fikper Free Download https://fikper.com/71ZKrt1tov/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part2.rar.html https://fikper.com/ENBM1e0llq/glcze.Exploratory.Data.Analysis.in.Python.Pandas..Excel.part1.rar.html No Password - Links are Interchangeable

Free Download Excel Analytics - Data Analysis with Pivot-Tables and Charts Last updated 11/2022 Duration: 2h 51m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48kHz, 2ch | Size: 1.63 GB Genre: eLearning | Language: English Learn Data Analysis from A to First Project with Pivot-Tables, Pivot-Charts and Advanced Formulas All In One Course. What you'll learn Write advanced formulas including lookup functions and Dynamic Arrays. Get used to the course content by practicing through the different assignments included in the course. A Full Project guidance step-by-step on a real-life databaset How to analyze any data step by step Understand How spreadsheets can be used as a data analysis tool. Gain an immersive understanding of Data (Defination, Categories, Types and Qualities). Understand the differences between Big Data and Traditional Data. Easy Guidance on how to find free datasets for practice. Obtain Knowledge on Data Clearning (Importance and different methods of Data Cleaning). Obtain Knowledge on Data Manipulation (How to extract information out of a dataset). How to use Pivot-Tables and gain an undestanding of its different features. Learn the different types of charts and how to use them properly. Requirements Microsoft Excel 2014 and Above For Mac Users, You might find a different interface when it comes to Pivot-Table Panel Description Why should you enroll in this course? This course covers all aspects of Excel Analytics starting from downloading a dataset to analyzing and creating a full project. It covers the fundamentals of Data and Quality data to have a good basis before getting into data analysis. It's suitable for beginner and intermediate levels to up their skills to advanced. It covers all business categories therefore, No matter what industry you're working in/want to work in, This course is for you. As a result of this course, you will be able to work on Excel Analytics projects on your own and make money freelancing. On-Video and Off-Video full project, Step-by-Step, in addition to practice tests. All your queries and questions will be answered by the instructor directly. Finally, This course is updated regularly to match the latest updates in regard to data analysis and Excel in particular. What will you learn in this course? 1- Data Data Analysis surely starts with Data, Hence, During Section 1, You will learn What's Data? Starting with its definition up to categories and qualities What are the Data Types in Excel? How to find a dataset? How to Navigate through a dataset? How to Autofil Data in Excel? 2- Data Cleansing Data Cleansing is the process of clearing a dataset of any duplicates, blanks, or inconsistencies and making sure your dataset contains quality data What are the traits of quality data? How to identify duplicates and blanks? Essential excel formulas (TRIM, UPPER, lower, Proper, Substitute, Concatenation) Filter and Sort Features How to change Data Types Text to Column How to Format data as a table? 3- Data Manipulation Data Manipulation is the process of manipulating data to extract relevant and key information from your dataset Statistical Formulas or Functions (Mean, Median, Mode, Min, Max, Average) Data Manipulation formulas (SUM, VLOOKUP, HLOOKUP) Logical Functions (IF, IFS, SUMIF, COUNT, COUNTIF, COUNTIFS, COUNTBLANKS) 4- Analyze Data Stage 4 is analyzing data using Pivot-Tables to gain more insights by creating a pivot table based on different rows/columns/filters and calculations Introduction to Pivot-tables to understand what it is and why it is important How to create a Pivot-Table? How to Format Data in a Pivot-Table? How to apply calculations on data in a Pivot-Table? How to Sort Data in a Pivot-Table? What are Slicers? How to use them and Why they are important? How to create automated recommended Pivot-Tables? 5- Data Visualization Finally Data Visualization, This is the final stage where you get to present your insights and analysis using Charts and Graphs, Charts are important as each Chart Type could identify hidden patterns and trends Introduction to important Chart Types such as (Bar Charts, Column Charts, Line Charts, Combo Charts, Pie Charts, and Doughnut Charts) How to create a Pivot-Chart? How to Apply a Slicer to a Pivot-Chart? How to Manually Style your Pivot-Chart? 6- Final Project (Step-by-Step) In the final section of the course, we will run through a hands-on data analysis project where you will make use of the knowledge you have gained throughout the course. What makes this course different from the other courses? This course is complete and precise, Hence, You won't have to take another course in Excel Analytics. This course teaches you everything about data analysis and guides you through your first data analysis project. Less than 8 hours avg response time (By the instructor) Assessment (First Project) evaluation in less than 24 hours by the instructor It offers auto-generated subtitles in more than 3 languages including (Arabic, Hindi, and Spanish) Regularly updated downloadable resources. What our students say about this course I would say this course is just straight to the point and exactly as described, i would definitely recommend it to any one who looks to start learning data analysis using Excel, Thank you Moustafa! I like it so far very to the point and basic so anyone can catch on. I am doing work to up my career skills and finding this course was exactly what I needed! awesome course. The course materials are easy to follow even for novices and the instructor teaches very well explained. I will recommend this class to whom want to learn data analytics with excel. This course is complete as you will learn all that you need to get your hands dirty in the field of Data Analysis, You will obtain the important intellectual and technical skills to start your first project. Enroll with us, We're looking forward to becoming a part of your success. 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