Advanced Analytics

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. 

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

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

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

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

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

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

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

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

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

Relationship best practices in Power BI

Discover various Data Time Manipulation techniques in SQL

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.

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

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

Learn how to create clear and consistent reports in Power BI

Create compelling Power BI market reports

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

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

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.

Use the data documenter tool to create an effective report template 

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

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

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