Master the Power BI basics and learn to use the data visualization software to build impactful reports.
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Power BI is a powerful data visualization tool that can be used in reports and dashboards.
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
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.
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.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Master data modeling in Power BI.
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Learn how to design Power BI visualizations and reports with users in mind.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Discover the different ways you can enhance your Power BI data importing skills.
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Learn to solve increasingly complex problems using simulations to generate and analyze data.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
An introduction to machine learning with no coding involved.
Learn efficient techniques in pandas to optimize your Python code.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.