Advanced Analytics

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 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 and visualization using both R and Python, covering data cleaning, data frames, and the use of packages like dplyr, tidyverse, skim R, and seaborn. It offers hands-on examples, such as creating various plots, performing group-based operations, and utilizing descriptive statistics for effective data interpretation.

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

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

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

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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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

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

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

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

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

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

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

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

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

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.

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.

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

Covers the use of quick measures and the features

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Master complex data model techniques especially when running forecasting analysis

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.

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

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

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

Use the data documenter tool to create an effective report template 

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

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