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 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 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. 

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 data visualization and analysis techniques, with a special emphasis on 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 Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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

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

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

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

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

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

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

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

Covers the use of quick measures and the features

Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.

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

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

Learn a range of advanced techniques in Power BI using DAX

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

The session include function Let and how to declare and using parameters in Power Query and DAX

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

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

Use the data documenter tool to create an effective report template 

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.

Challenge your data skills in creating an analysis report on substance

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

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