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Model Engineers' Workshop - December 2024 English | 68 pages | PDF | 54.8 MB Model Engineers' Workshop is the ideal workshop companion for all hobby engineers. Model Engineers' Workshop shines a spotlight on the tools and techniques used by model makers, light engineers, restorers and customisers and those who like making and modding their own tools. You'll find readers' tips, reviews of workshop equipment as well as articles on restoring old tools and making your own as well as the latest new technologies, techniques and materials. https://fileaxa.com/sg1m89v73ptj https://ddownload.com/ycvi95w8q7n3 https://rapidgator.net/file/546fde94e10117983cd9b9b394e0a0e8/ https://turbobit.net/ilbjtxgz0mqn.html

Free Download Linkedin - Docker for Data Engineers Released 10/2024 With Janani Ravi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 30m 35s | Size: 267 MB Dive into the world of Docker and containerization. Learn how to leverage the power of containers to streamline application development, deployment, and scalability. Course details Unlock the potential of the popular containerization platform Docker to transform the way you develop, deploy, and manage applications. Instructor Janani Ravi shows you how Docker simplifies the creation and management of containerized applications and guides you through how to install Docker Desktop on Windows and macOS, manage images and containers, utilize the components of Docker Hub, and more. Along the way, get hands-on experience building Docker images, running containers in various modes, and deploying a containerized app with Azure Container Instances. Whether you're a developer, an IT professional, or just looking to streamline your apps, by the end of this course, you'll be equipped with the skills you need to use Docker to enhance your applications' efficiency and predictability. Homepage https://www.linkedin.com/learning/docker-for-data-engineers Screenshot Rapidgator https://rg.to/file/8789e00b1abc5239fb73092723ca6749/mvchr.Docker.for.Data.Engineers.rar.html Fikper Free Download https://fikper.com/7nA34SMRNp/mvchr.Docker.for.Data.Engineers.rar.html No Password - Links are Interchangeable

Free Download Financial Accounting Masterclass For Mba, Engineers, Non-Fin Last updated 11/2020 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 767.59 MB | Duration: 2h 52m Learn Accounting, Finance, Financial Statements, Financial Analysis, Accounting for beginners What you'll learn Logical (not rule based) approach to Financial Accounting Crux of Accrual Accounting P&L, Balance Sheet, Cash Flow, Personal Finance, Business Finance True meaning of various Accounting Entries Creating and Analyzing Financial Statements in an unconventional way Financial Statements from a layman's perspective Requirements None - Course is specially designed that even non-finance people can easily pick up the concepts Description Engineers, MBAs and Non-finance love Logic. Whereas Accounting appears to be less logical & more principle based. Thus Accounting is often difficult to learn. Not anymore. And not in this course.Accounting is Pure Logical, just that it is not taught the logical way. If you start to learn accounting from Debit & Credit entries or using Accounting Principles, you will be lost. Whereas, if you learn accounting using Business Transactions, you will see how easy it gets. So, let's learn Accounting in a more practical and relatable way. If you are new to accounting or face challenges learning accounting, this course is for you. In this course, we will unravel Accounting concepts using Business Transactions. Here, you won't learn ever-confusing Debit & Credit entries because most of the time you won't need them unless you are a Financial Accountant. Rather, mostly you will be required to analyze the financial statements & make investing decision. That is the role of a Financial Analyst - the highest paid job in the financial world. This Accounting Masterclass promises to take you on a roller coaster ride and make accounting fun to learn. Here you will learn:1) Concepts of Accrual Accounting 2) Basics of P&L, Balance Sheet and Cash Flow Statement3) Recording business transactions directly in P&L and Balance Sheet4) Forming Cash Flow Statement 5) Financial Statement Analysis I promise you this course is worth taking. Overview Section 1: Course Intro Lecture 1 Course Preview Lecture 2 Challenges to Accounting Section 2: Introduction to Accounting Lecture 3 Accounting and its Purpose Lecture 4 Accounting and Personal Finances Lecture 5 Profit and Loss Statement Lecture 6 Balance Sheet Section 3: Learn Accounting with Business Transactions Lecture 7 Business Transactions Intro Lecture 8 Business Assumptions Lecture 9 Day 0 to Day 2 Lecture 10 Day 3 and 4 Lecture 11 Day 5 and 6 - Part 1 Lecture 12 Day 5 and 6 - Part 2 Lecture 13 Day 7 and 8 Lecture 14 Day 9 to 11 Lecture 15 Consolidation and Financial Analysis Lecture 16 Exercise - Financial Analysis Section 4: Cash Flow Statements Lecture 17 Cash Flow Basics Lecture 18 Cash Flow of Tea Stall Section 5: Course Summary Lecture 19 Summary & Exercise Section 6: Extra Innings Lecture 20 Additional 3 Days of Transactions Finance Enthusiast, Students,MBAs, Engineers, Non-Finance Screenshot Homepage https://www.udemy.com/course/accounting-masterclass/ Rapidgator https://rg.to/file/87849715ce1e6673eea4cdde3afc4caf/tbipk.Financial.Accounting.Masterclass.For.Mba.Engineers.NonFin.rar.html Fikper Free Download https://fikper.com/1lmVKmOJdv/tbipk.Financial.Accounting.Masterclass.For.Mba.Engineers.NonFin.rar.html No Password - Links are Interchangeable

Free Download Effective Leadership Collaboration for Software Engineers Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 21m | Size: 485 MB Collaboration and Communication for Software Development What you'll learn Learn why listening, understanding, and empathizing can break communication barriers within a team Learn what trust and authenticity means to team members Learn how tone and intent can impact the collaboration within a team Learn what accountability looks like in practice Learn how to think about and apply some common, basic leadership prin[beeep]ls to your day-to-day work Increase your influence on technical and product direction within a technical team Requirements You will need to have some experience (6 months+) of working in a technical, product driven team. Description This course takes many of the common terms used to train technical leaders and talks through the impact of how you apply those terms to your day-to-day. This course focuses on the mentality and thought process that will help you continue to manage and grow your path into and through technical leadership.Apply Leadership Prin[beeep]ls to Everyday WorkLearn how to break communication barriers by building relationships throughListeningUnderstandingEmpathyand TrustUnderstand how to pave communication pathways by inspiring connections throughTone and intentAuthenticityand AccountabilityVisualize real scenarios by walking through examples of individual contributor, leadership, and manager application.Course PurposeThis course is designed for those aspiring to become technical leaders or those that want to expand their reach and influence as technical leaders. As we walk through the terms and concepts that are regularly taught, you will get a glimpse of what the application looks like. This course focuses significantly on how you can approach thinking about these concepts that goes beyond just buzz words and ideologies on a company webpage.By the end of this course, you can evaluate and adjust your leadership style to effectively shape the values and culture of engineering departments and product teams.What will students learn in your course?Learn why listening, understanding, and empathizing can break communication barriers within a teamLearn what trust and authenticity means to team membersLearn how tone and intent can impact the collaboration within a teamLearn what accountability looks like in practiceLearn how to think about and apply some common, basic leadership prin[beeep]ls to your day-to-day workIncrease your influence on technical and product direction within a technical teamThis course is designed for those aspiring to become technical leaders or those that want to expand their reach and influence as technical leaders.You will need to have some experience (6 months - 1 year) of working in a technical, product driven team. Who this course is for This course is designed for those aspiring to become technical leaders or those that want to expand their reach and influence as technical leaders. Homepage https://www.udemy.com/course/effective-leadership-collaboration-for-software-engineers/ Screenshot Rapidgator https://rg.to/file/f2df8c97d773b2d752fceb98fc4d699c/vnpll.Effective.Leadership.Collaboration.for.Software.Engineers.rar.html Fikper Free Download https://fikper.com/O3J37JVnL6/vnpll.Effective.Leadership.Collaboration.for.Software.Engineers.rar.html No Password - Links are Interchangeable

Model Engineers' Workshop - November 2024 English | 68 pages | PDF | 55.0 MB Model Engineers' Workshop is the ideal workshop companion for all hobby engineers. Model Engineers' Workshop shines a spotlight on the tools and techniques used by model makers, light engineers, restorers and customisers and those who like making and modding their own tools. You'll find readers' tips, reviews of workshop equipment as well as articles on restoring old tools and making your own as well as the latest new technologies, techniques and materials. [img=https://ddownload.com/images/promo/banner_240-32.png] https://ddownload.com/pn1r2995jogk https://rapidgator.net/file/ec6ff20e4ed08d8a4c0766004cb55f71/ https://turbobit.net/9jbpdvimp0eu.html

Free Download Software Tools For Software Test Engineers & Test Managers Last updated 5/2024 Created by Shadi Oweda MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 92 Lectures ( 5h 29m ) | Size: 2.6 GB Must-Have Software Tools & Skills: For Software Test Professionals What you'll learn: Know-how to manage software test activities with Jira, XRay the, most popular tools in the market. Take advantage of the Free trial version to learn the ins & outs to manage test activities with Jira XRay Cloud. Gain & build rapid competences in Jira & XRay through, simulated scenarios & project examples. Take advantage of XRay reporting capabilities & generate test coverage, traceability, tests list, test execution, test plans & test plans metrics reports. Create project Epics, User Stories, Environments, Components & Versions. Schedule & prioritize Sprints according to project deadlines and prioritize user stories in project backlog. Create & manage test activities: user stories, test steps, test sets, test plans & test execution. Create Filters & reuse them to create project Boards and Dashboards. Create test runs, execute tests, link defects to user stories under test to provide adequate test coverage. Create & customize Dashboards, add gadgets and share project Dashboards with team, group or project members. In the "Extras" section you will access "How to videos" and Integration with CI&CD tools Other X-Ray Test Types, BDD Cucumber in Agile UAT environment, Cucumber feature file in Katalon Studio & The Online Shopping project example Bonus section: How to integrate IntelliJ IDE with Jira to continuously execute and update Jira test issues. Bonus section: How to integrate Bitbucket & Jira Create Bitbucket Pull requests and pipelines. Create Bitbucket branch based on Jira issue. Bitbucket Cloud - Connect your project repository. Overview - Test Management Phases Software environments, DevOps and CI/CD Test Data Management and Test Data Generation Data Science & Data Analytics tools ( Anaconda, Jupyter Notebook, Neural Network and Deep learning packages) Manipulating data with numpy and pandas libraries. Case Study: Real-World Integration & Verification Strategies for Industrial Applications Requirements: A computer with internet connection is required. Description: If you are a beginner or a professional who wants to break the unfamiliarity barriers and gain insights into software testing tools or mange software test activities, then you have made the right choice in choosing this course.This course breaks complexity barriers through, simulated scenarios and project examples; that will take you from no knowledge to build & gain competences in the area of test management and test tools.By the end of this course you will learn:How to get your Jira Cloud instanceCreate & Configure your own Project Create Epics, User Stories & DefectsCreate Environments, Components & VersionsConfigure your Xray Cloud Scrum projectConfigure your project issues to provide adequate coverageCreate Filters & re-use them to create project Boards Create and organize Sprints and prioritize project backlogWork with Active Sprints to control frequently changed requirement/user storiesGenerate sprint reports to monitor project backlogManage all test activities in Jira Xray from user stories to test executions & reporting Create & manage test steps, test sets & importing external test cases Create & manage test plans, test execution issues & DefectsHow to take advantage of powerful Xray reporting capabilities to compile own test coverage, traceability reports & more..Create Project Boards and Dashboards to share with your team, group or project Xray reporting capabilitiesTest Coverage ReportTraceability, List and other reportsTest Management with XRAY - RecapTest management with xrayOverview - Test Management PhasesSoftware environments, DevOps and CI and CD And More insights into:The Integration with CI and CD toolsConfluence: Project Document SettingsIntroduction to JQLTest Repository (New Feature)The Xporter for Jira Cloud (New Feature)Tools to start with Behavior Driven Development FrameworkInstall Java Intelli J Community EditionFind Java versionsInstalling Jira-Xray, Cucumber and Gherkin plug-insCucumber with Intelli JUpdating Jira issues from IntelliJ IDEThe project set-up: Maven projectHow to configure system environment variables for MavenCreating a Maven project with Intelli JPOM. XML file and Maven dependenciesIntegrate Bitbucket with Jira cloud instanceJira Bitbucket integrationCreate Bitbucket Pull requests and pipelinesCreate Bitbucket branch based on Jira issueBitbucket Cloud - Connect your project repositoryAugust 2023 update: Overview - Test Management Phases Software environments, DevOps and CI/CD Test Data Management and Test Data GenerationSeptember 2023 update:Optional - Data Science & Data Analytics tools (Install Anaconda, Jupyter Notebook, Neural Network and Deep learning packages)March 2024 (IN PROGRESS)New Section : Dive into System Integration, Verification, and Testing & Test Tools Who this course is for: Software test engineers, managers or anyone who wants to gain rapid competences using software tools in IT project environments. 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Free Download Python for Engineers, Scientists and Analysts Published 9/2024 Created by Harry Munro MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 1h 36m ) | Size: 789 MB Introduction to Data Analysis, Statistics, Modelling and Visualisation What you'll learn: Learn how to install and run Python on your computer Write and execute basic Python scripts. Import data from CSV files and other formats. Utilise libraries such as Pandas for data manipulation and exploration. Apply statistical methods to analyse data (e.g., mean, median, standard deviation). Calculate and interpret descriptive statistics using Python libraries. Apply advanced statistical measures such as percentiles and interquartile range to gain deeper insights into data variability. Create new data using mathematical and statistical models. Simulate real-world scenarios using models in Python. Generate plots and visualisations using libraries like Matplotlib and Seaborn. Create informative charts, graphs, and plots to summarise data. Write functions for repetitive tasks in data analysis. Understand the concept of modular programming and apply it to real-world problems. Solve engineering, scientific, and analytical problems using Python. Integrate data analysis and visualisation techniques to extract insights from data. Present data analysis results through clear, professional visualisations. Use Python to automate processes and produce immediate, actionable insights. Requirements: Basic Computer Literacy: Learners should be comfortable using a computer, navigating files, and installing software. Curiosity and a Willingness to Learn: No prior programming experience is required! This course is designed to take beginners through the foundations of Python and data analysis step by step. (Optional) Basic Understanding of Mathematics and Statistics: While not required, familiarity with basic statistical concepts (e.g., mean, median, and standard deviation) will help learners get the most out of the course, particularly when we explore data analysis and modelling. No Prior Python Experience Required! This course is ideal for beginners, and we'll cover everything you need to know from scratch. If you're new to programming, don't worry-this course is designed to make Python accessible and enjoyable. Description: Unlock the power of Python to address real-world challenges in engineering, science, and data analysis with efficiency and precision. This course is designed to provide you with the essential skills needed to apply Python in practical, industry-relevant contexts-whether you're a professional seeking to automate workflows, a student aiming to enhance your data analysis capabilities, or simply interested in using Python to streamline complex tasks.Developed for learners of all levels, this course provides clear, structured guidance on the core concepts of Python. Through hands-on exercises and real-world examples, you will learn how to import, clean, and manipulate data, perform key statistical analyses, build mathematical models, and create professional visualisations. The lessons are concise and focused, ensuring you can acquire the knowledge and skills you need efficiently.While covering fundamental Python programming and data analysis techniques, this course is intentionally designed to avoid more advanced topics such as machine learning, object-oriented programming, and complex Boolean operations-allowing you to focus on practical skills that can be applied immediately.What You'll Learn:How to install Python and set up your programming environment efficientlyImporting, cleaning, and manipulating datasets using libraries such as PandasPerforming advanced statistical analysis, including outlier detection, percentiles, and interquartile rangesVisualising data using professional charts and graphs with Matplotlib and SeabornBuilding mathematical models for data simulation and predictionWriting efficient, reusable Python code to solve real-world problemsApplying Python to fields such as engineering, finance, manufacturing, and scientific researchWhy Take This Course?Practical and Immediate Value: The course is designed to deliver skills that can be applied immediately in your professional or academic work.Hands-on Learning: Engage with interactive coding exercises, downloadable code, and real-world projects that enable you to apply what you learn.Accessible for All Levels: Whether you are new to Python or seeking to refine your skills, this course is structured to accommodate learners at all levels.High-Quality Content: Enjoy well-organised lessons, quizzes, and downloadable resources that facilitate effective learning.What This Course Does NOT Cover: This course provides a strong foundation in Python for data analysis, modelling, and visualisation, but it does not cover the following advanced topics:Iterables and GeneratorsAdvanced Boolean OperationsObject-Oriented Programming (OOP)Machine Learning or Deep LearningAdvanced Big Data Libraries such as Dask or PySparkConcurrency and ParallelismAdvanced simulation techniques such as discrete-event simulation or agent-based modellingThis course is designed to equip you with immediate, actionable skills that can be applied directly to real-world challenges. Whether you are looking to enhance your professional capabilities or add a valuable tool to your skillset, this course will help you gain proficiency in Python efficiently and effectively. Who this course is for: Engineers, Scientists, and Analysts Students and Academics Industry Professionals Looking to Upskill Beginners Interested in Python for Data Science Homepage https://anonymz.com/https://www.udemy.com/course/python-for-engineers-scientists-and-analysts/ Rapidgator https://rg.to/file/71073c4c167c59bbdc78aea19734e845/udizy.Python.for.Engineers.Scientists.and.Analysts.rar.html Fikper Free Download https://fikper.com/ONYvw9byFF/udizy.Python.for.Engineers.Scientists.and.Analysts.rar.html No Password - Links are Interchangeable

Free Download Azure Data Factory Essentials For Data Engineers 2024 Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 583.66 MB | Duration: 1h 4m A Complete Guide to Building and Managing Data Pipelines in Azure - Your Step-by-Step Journey in Azure Data Factory What you'll learn Creating and configuring an Azure account. Understanding and using Azure Cost Management to monitor and optimize cloud spending Setting up and connecting to an Azure SQL Database using the Azure portal, and resolving common connection issues. Using SQL Server Management Studio (SSMS) to interact with Azure SQL databases. Creating and managing an Azure Storage Account and connecting via Azure Storage Explorer to upload and manage data. Setting up an Azure Data Factory instance and exploring the ADF user interface. Creating Linked Services (LS) and Datasets (DS) to connect data sources and destinations. Building and configuring pipelines to automate the movement of data between Azure services using Copy Activities. Monitoring and managing pipeline executions to ensure smooth data workflows. Requirements Basic understanding of data engineering concepts is helpful but not required. Familiarity with cloud computing or Azure fundamentals is a plus. A PC or laptop with internet access to create and manage an Azure account. Description This course is a comprehensive introduction to Azure Data Factory (ADF) and essential Azure services, designed to give you practical, hands-on experience in building data pipelines. Whether you're new to Azure or looking to automate data workflows, this course will equip you with the knowledge and skills needed to move and manage data efficiently.We start by helping you create your own Azure account, providing an overview of Azure Cost Management to control cloud expenses. From there, we dive into setting up an Azure SQL Database, resolving common connection issues, and connecting to it using SQL Server Management Studio (SSMS). You'll also learn how to create and manage an Azure Storage Account, and upload data through Azure Storage Explorer.The core of the course focuses on Azure Data Factory. You will learn how to create an ADF instance, navigate the user interface, and create Linked Services and Datasets for both your SQL database and Storage Account. Through step-by-step videos, we'll guide you in building a pipeline to copy data between these services. You'll also learn to monitor and manage pipeline executions, ensuring smooth data transfers between systems.By the end of the course, you'll be confident in building and automating data pipelines using Azure Data Factory and integrating other Azure services effectively. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Basics Of Azure Account Lecture 2 Create Azure Account Lecture 3 Azure Cost Management and Budget Section 3: Basics Of Azure Data Factory Lecture 4 Sample Project 1 Lecture 5 Create Source Systems Lecture 6 Access Azure SQL From Azure Portal Lecture 7 Access Azure SQL Using SSMS Lecture 8 Create Target Systems Lecture 9 Access Azure Storage Account Using Storage Explorer Lecture 10 Create Azure Data Factory Instance Lecture 11 Azure Data Factory First Time Lecture 12 Create Linked Services Lecture 13 Create Data Sets Lecture 14 Create Pipelines Lecture 15 Cost Optimization Strategies Beginners in cloud computing and data engineering who want to learn the basics of Azure Data Factory.,Developers and data engineers looking to automate data workflows using Azure services.,IT professionals seeking hands-on experience with Azure SQL Database, Azure Storage Accounts, and Azure Data Factory.,Students and professionals preparing for certifications in Azure data services. Homepage https://www.udemy.com/course/azure-data-factory-for-data-engineers/ TakeFile https://takefile.link/oyi4zc502tcn/oljjk.Azure.Data.Factory.Essentials.For.Data.Engineers.2024.rar.html Rapidgator https://rg.to/file/d2139400b2adb917c05c4e6f4470e831/oljjk.Azure.Data.Factory.Essentials.For.Data.Engineers.2024.rar.html Fikper Free Download https://fikper.com/c50X5gber3/oljjk.Azure.Data.Factory.Essentials.For.Data.Engineers.2024.rar.html No Password - Links are Interchangeable

Free Download Snowpark for Data Engineers Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 51m | Size: 217 MB Take a deep dive into Snowpark Python in Snowflake, the library set specifically designed for data engineers and professionals seeking to leverage the capabilities of the Snowflake managed data platform. Join instructor Janani Ravi as she shows how to get up and running with Snowpark, from setting up a Snowflake trial account to writing Snowpark handlers, performing data transformations, and working with both structured and semistructured data. Along the way, explore more advanced concepts such as creating and managing user-defined functions (UDFs), user-defined table functions (UDTFs), and stored procedures, as well as how to install necessary packages, access custom packages, and connect to Snowflake from a Jupyter notebook. By the end of this course, you'll be prepared to start manipulating data frames, performing data engineering tasks, and implementing complex data processing functions within Snowflake. Homepage https://www.linkedin.com/learning/snowpark-for-data-engineers TakeFile https://takefile.link/gcrdumvpe55f/jyfhz.Snowpark.for.Data.Engineers.rar.html Rapidgator https://rg.to/file/957233dca839901a00764c83a750c55a/jyfhz.Snowpark.for.Data.Engineers.rar.html Fikper Free Download https://fikper.com/mEY1iRRnOk/jyfhz.Snowpark.for.Data.Engineers.rar.html No Password - Links are Interchangeable

Free Download English for Software Engineers - Speak Like a Pro Published 9/2024 Created by Terry Mc Gonigle MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 45m ) | Size: 2.48 GB Improve your English communication for remote work, meetings, and global projects. What you'll learn: Communicate effectively in English during software development meetings. Develop confidence in scrum meetings, stand-ups, and technical discussions. Ask questions about project specifics, tech stacks, and product backlogs. Gain clarity in discussions and ensure smooth project communication. Understand and use essential English vocabulary and terminology. Learn key verbs, phrases, and technical terms used in software engineering. Improve pronunciation and avoid common grammar mistakes. Speak clearly and correctly in professional software engineering contexts. Requirements: Basic to intermediate English level. No advanced English skills required; all necessary language skills will be taught. Description: Master English for Software Engineering and Unlock Global Opportunities!Hi, I'm Terry - a dedicated English language teacher and Udemy instructor. I created English for Software Engineers to help software professionals like you work confidently in English for international companies.Why This Course?Are you a software engineer learning English as a second language? This course is designed for you! Whether you want to work remotely for an international company, relocate, or simply enhance your career prospects, this course will equip you with the skills you need to succeed.Here's How This Course Will Help You:Real-World Learning: Over 20 professional software engineers collaborated to create lessons tailored for the software industry. By the end, you'll be ready to thrive in an international scrum team.Authentic Communication Practice: Each lesson features realistic dialogues with North American voice actors, simulating actual scrum meetings and other common workplace scenarios.Essential Skills for Software Engineers: Learn vital communication skills, such as:Asking questions about project specifics, tech stacks, and product backlogs.Parti[beeep]ting in team discussions and meetings confidently.In-Depth Language Focus: Each lesson breaks down critical vocabulary, pronunciation, and grammar. Learn the most important verbs and terminology needed for working 100% in English as a professional software engineer.Why This Course Stands Out:Unique and Comprehensive: This is the only course that offers a guided sequence of lessons specifically designed for software engineers. Clear explanations help you master essential vocabulary, pronunciation, and grammar, avoiding common mistakes.Perfect for Your Level: Whether you're a beginner or have an intermediate level of English, this course will help you advance to the next level.Who Is This Course For?Software engineers who are frustrated with their career progress due to language barriers.Those looking for new opportunities with better salaries in international companies.Anyone eager to enhance their professional communication skills in English and unlock global job opportunities.Join Me and Take the Next Step in Your Career!Enroll now and get a 30-day money-back guarantee. If you're not 100% satisfied, you get a full refund - no questions asked!With over 150,000 students on Udemy and multiple best-selling courses, I'm confident you'll love this course too.Take the Leap - Transform Your Career!Join now and start your journey to becoming a globally competitive software engineer. Who this course is for: Software engineers with a basic to intermediate level of English. Developers interested in working remotely or relocating to English-speaking countries. Tech professionals looking to advance their careers with better English fluency. Professionals seeking to improve communication skills for international projects. Anyone frustrated by language barriers and seeking better opportunities. Individuals aiming to join global tech companies or multinational teams. Homepage https://www.udemy.com/course/english-for-software-engineers-speak-like-a-pro/ Rapidgator https://rg.to/file/a2a243cbf94276eb9a57f402f613e2de/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part1.rar.html https://rg.to/file/39b27e4e5ab61b82e5efce383de276b7/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part2.rar.html https://rg.to/file/061a16f37e1ac9fe5093d31429b4a26a/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part3.rar.html Fikper Free Download https://fikper.com/fQwgxfUZoD/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part1.rar.html https://fikper.com/bRFk79AFw3/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part2.rar.html https://fikper.com/Jn9EMRA3UX/wsnnz.English.for.Software.Engineers.Speak.Like.a.Pro.part3.rar.html No Password - Links are Interchangeable

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