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

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

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

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

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

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

Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods

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

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

Analyzing your data set in comprehensive way to get a better understanding

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

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.

Create compelling Power BI market reports

Develop complex Power BI solutions

Illustrate key techniques in Power Query/M by working through the Challenges

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

Challenge your data skills in creating an analysis report on substance

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

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

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

Enhance your development skills by creating a supplier insights report

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

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

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