Advanced Analytics

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 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 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 offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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.

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

Level up your SQL query fluency even without prior SQL experience.

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

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

Learn valid inference techniques for two-sample and two-variable data questions.

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

Dynamic data labels at the end of the line

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Data story telling is an important part of the report development process. It changes the way the audience views reports.

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Relationship best practices in Power BI

Learn the best practices for transforming data in the query editor

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

Use the data documenter tool to create an effective report template 

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

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.

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

Challenge your data skills in creating an analysis report on substance

Enhance your development skills by creating a supplier insights report

Deep dive into the world of F1 and create an analysis of the drivers' stats

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