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

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.

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

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

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.

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

Expand Power BI's capabilities in accessing a wide range of data using APIs

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

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

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

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

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

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

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

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

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

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.

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

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

Use the data documenter tool to create an effective report template 

Challenge your data skills in creating an analysis report on substance

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

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

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