Advanced Analytics

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

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 harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced analyses and gain insight into complex business questions.

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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

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

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

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

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

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

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

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

An overview on Azure ML and how to incorporate it with Power BI

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

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

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

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.

Discover various Data Time Manipulation techniques in SQL

Enhance your development skills by creating a supplier insights report

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

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

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

Use the data documenter tool to create an effective report template 

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.

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

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