Cleaning data is one of those tasks that is not fancy, but key to any data application. This course will teach you the skills and knowledge of data cleaning in Pandas needed to convert your datasets from raw and useless to clean and useful.

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.

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.

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.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.