Data Preparation in Power BI
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
Learn the key concepts of data modeling on Power BI.
Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!
An introduction to machine learning with no coding involved.
Learn to combine data from multiple tables by joining data together using pandas.
Data-driven organizations consistently rely on insights to inspire action and drive change.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.
Master data modeling in Power BI.
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn to design databases in SQL to process, store, and organize data in a more efficient way.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Discover the different ways you can enhance your Power BI data importing skills.
Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!
Learn how to create one of the most efficient ways of storing data - relational databases!
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.