Advanced Analytics

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

This path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

This Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

This path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code.

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Expand Power BI's capabilities in accessing a wide range of data using APIs

Improve the overall performance of your DAX measures using the DAX Studio

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

A practical guide to recognizing, understanding, and managing uncertainty in data 

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Covers the use of quick measures and the features

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Learn beginner to advanced DAX function techniques

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

Challenge your data skills by creating a report on transport and shipping data 

Enhance your development skills by creating a supplier insights report

Take a deep dive into the world of utilisation and timesheet data

Challenge your data skills in creating an analysis report on substance

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.

This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.