Improve data governance and asset discovery using Power BI and Microsoft Purview integration.

With Microsoft Power BI, you can use a single semantic model to build many reports. Reduce your administrative overhead even more with scheduled semantic model refreshes and resolving connectivity errors.

This learning path introduces the foundational components of implementing lifecycle management techniques for Power BI assets. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

In this Learning Path, you'll learn how to publish Power BI reports to the Power BI service. You'll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.

Learn how to use and reshape data frames in R. The course also covers common alternatives to the data frame like tibble and data table.

People coming from spreadsheets are blown away with how easy and powerful it is to manipulate tabular data with R. In this course, you will learn the fundamental building blocks of how to work with the R data frame.

Learn how to work on string data in R. Use the best add on packages' and perform sentiment analysis on large texts.

In this course you'll learn the basics of working with time series data.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn to navigate answering spatial questions in Tableau. You'll learn mapping basics and concepts, how to customize map styles and layers, and how to use map services and extensions while building almost every type of map in Tableau.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.