Advanced Analytics

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

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 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 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 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 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 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.

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

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

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

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

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

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

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

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

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

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Learn beginner to advanced DAX function techniques

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

Learn how to create clear and consistent reports in Power BI

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

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

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

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

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

Enhance your development skills by creating a supplier insights report

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

Use the data documenter tool to create an effective report template 

Challenge your data skills in creating an analysis report on substance

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

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.