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

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

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 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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

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

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

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

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

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

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.

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

Develop advanced Power BI analytical techniques

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

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

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.

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

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

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.