Power BI for End Users
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Learn how to approach and win competitions on Kaggle.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Leverage the power of Python and PuLP to optimize supply chains.
In this course youll learn to use and present logistic regression models for making predictions.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Learn to design and run your own Monte Carlo simulations using Python!
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.