Gain a 360° overview of how to explore and use Power BI 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.
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!
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
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.
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Learn the key concepts of data modeling on Power BI.
Master data modeling in 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.
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.
Discover a wide range of DAX calculations and learn how to use them in in Microsoft Power BI.
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.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Learn how to import and manipulate data with Oracle SQL.
Learn how to make predictions with Apache Spark.
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.
Imitate Shakespear, translate language and autocomplete sentences using Deep Learning 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 to upscale your Python workflows to efficiently handle big data with Dask.