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Free Download Coursera - Generative AI for Business Intelligence (BI) Analysts Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 39 Lessons ( 4h 1m ) | Size: 710 MB Unlock the Potential of Generative AI in BI. Learn how you can use the capabilities and tools of generative AI to boost your career in business intelligence What you'll learn Explain generative AI's fundamental capabilities and applications in the BI domain. Develop effective prompts using prompt engineering approaches and techniques. Apply generative AI tools and techniques to optimize every stage of the BI lifecycle. Explain ethical considerations, challenges, and best practices in implementing generative AI for BI. Skills you'll gain Generative AI Business Intelligence Data Analysis Data Visualization Artificial Intelligence Are you a business intelligence (BI) Analyst or aspiring to start your career in this domain? This specialization can help to advance your career by leveraging the power of generative AI. The specialization consists of three short, self-paced courses, each requiring 4-6 hours to complete. Explore the core concepts and capabilities of generative AI and learn to leverage these capabilities throughout the BI lifecycle. Learn the techniques of prompt engineering to optimize the outcomes produced by generative AI tools. Gain practical skills in using generative AI for different use cases in BI, including querying databases and documents, automating data visualization, and creating dashboards and reports. Learn how generative AI supports data analysis, synthetic data creation, and data cleansing. Explore several generative AI tools that can be used in the BI domain. Learn how common generative AI tools like ChatGPT and Microsoft Copilot can be used in BI. Through the hands-on labs and projects, you will gain valuable experience in harnessing generative AI in BI. You will hear from experts about their insights on the different concepts covered in the courses. Applied Learning Project Throughout this specialization, you will complete hands-on labs and projects to gain practical experience in leveraging generative AI for different use cases in the BI domains. You will learn how to draft effective prompts for generating relevant outputs regarding the common and specific scenarios in BI. Some examples of the labs includedare Generate Text Using Generative AI Generating Text, Images, and Code Experimenting with Prompts Naive Prompting and the Persona Pattern The Chain-of-Thought Approach in Prompt Engineering The Tree-of-Thought Approach in Prompt Engineering Data generation and cleansing Querying databases and documents Generating SQL queries with AI Data analysis using generative AI tools Data visualization with AI tools Project Homepage https://www.coursera.org/specializations/generative-ai-for-business-intelligence-analysts TakeFile https://takefile.link/n22teh9tk45n/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Rapidgator https://rg.to/file/9ea32e9576686a9d01d189deb7818b18/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Fikper Free Download https://fikper.com/iHijQugRu2/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar No Password - Links are Interchangeable

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. 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Udemy - Excel for Analysts: Mastering Advanced Formulas & Functions English | MP4 | 1280x720 | 58 kbps | 44 KHz | 6 hours | 1.10 Gb Genre: eLearning Learn how to write powerful Excel functions with hands-on, interactive exercises designed by an award-winning instructor It's time to show Excel who wears the pants in this relationship. Whether you're starting from square one or aspiring to become an absolute Excel badass, you've come to the right place. It's time to stop digging through help forums and shelling out absurd fees for tutors and textbooks -- you deserve better. This course will give you a deep understanding of the advanced formulas and functions that transform Excel from a basic spreadsheet program into a dynamic and powerful analytics tool. While most Excel courses focus on simply what each formula does, I teach through hands-on, contextual examples designed to showcase why these formulas are awesome and how they can be applied in a nuMber of ways. I will not train you to regurgitate formula syntax; I will teach you how to THINK like Excel. readmore By the end of the course you'll be writing robust, elegant formulas from scratch, allowing you to: Easily build dynamic tools & dashboards to filter, display and analyze your data Go rogue and design your own formula-based formatting rules Join datasets from multiple sources in seconds Tap into API data sources like live weather, stock quotes, GPS data, etc. Manipulate dates, times, text, and arrays Automate tedious and time-consuming tasks (no VBA required!) And much, much more... What gives you the right to teach this class? Can't I just Google this stuff? Fantastic question. First and foremost, I have a genuine passion for Excel that most people reserve for things like kittens, ice cream, and/or significant others. The only thing I love more than learning Excel is teaching it, and as the founder of Excel Maven I've been lucky enough to teach thousands of people just like you over the past 7+ years. My teaching style is conversational, authentic and to the point, and I will always communicate complex concepts in a framework that is clear and easy to comprehend. As a full-time analytics consultant and Excel instructor, I cut my teeth using Excel to solve real-world business problems and develop award-winning analytics & data visualization tools for Fortune 500 companies. If you care about creds, I'm a card-carrying MOS Certified Excel Expert and my work has been featured by Microsoft and the New York Times. Ok so I don't actually carry the card, but you get the idea. What are the requirements? Microsoft Excel (2007+) installed and ready to roll Some experience with basic formulas is recommended, but not required (we'll spend some time laying the groundwork for the more advanced stuff) What am I going to get from this course? Over 76 lectures and 5.5 hours of content! 60+ downloadable PDF slides and 9 Excel practice files Hands-on practice writing powerful, complex Excel functions from scratch A step-by-step, 100% comprehensive guide to the most versatile, powerful functions in Excel What is the target audience? Excel users who have basic skills but want to get really, REALLY good Anyone hoping to expand their analytical skill set, work more efficiently with data, and take their career to a new level Students looking for an engaging, hands-on, and highly interactive approach to training DOWNLOAD http://rapidgator.net/file/79a5f26f5dad4291a9647d593659ce4c/7Excel.part1.rar.html http://rapidgator.net/file/5db1c48fa378762f75047227c5fef0c4/7Excel.part2.rar.html http://rapidgator.net/file/a4695eca59c3bc21bb063eba0bce3af8/7Excel.part3.rar.html http://rapidgator.net/file/1f484a7de96b88b6a0fc7b96d16286c7/7Excel.part4.rar.html http://rapidgator.net/file/644869d34c631512d4ddeebe1c26bc86/7Excel.part5.rar.html http://uploaded.net/file/t7rcldo3/7Excel.part1.rar http://uploaded.net/file/v161876l/7Excel.part2.rar http://uploaded.net/file/azyo15ne/7Excel.part3.rar http://uploaded.net/file/bu2dhfso/7Excel.part4.rar http://uploaded.net/file/5r1fzmqv/7Excel.part5.rar http://www.hitfile.net/Xbx/7Excel.part1.rar.html http://www.hitfile.net/Y1z/7Excel.part2.rar.html http://www.hitfile.net/Xjf/7Excel.part3.rar.html http://www.hitfile.net/XrT/7Excel.part4.rar.html http://www.hitfile.net/XCJ/7Excel.part5.rar.html http://www.uploadable.ch/file/dHH72vRBe85B/7Excel.part1.rar http://www.uploadable.ch/file/2TmdVF9sKu4h/7Excel.part2.rar http://www.uploadable.ch/file/fM3F8MbNFxcy/7Excel.part3.rar http://www.uploadable.ch/file/fEcsb2An8SsH/7Excel.part4.rar http://www.uploadable.ch/file/wVzyv4fNNpTB/7Excel.part5.rar

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