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

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

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.

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

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

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

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

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

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

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

Covers the use of quick measures and the features

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

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

Master complex data model techniques especially when running forecasting analysis

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

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

Dynamic data labels at the end of the line

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

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

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

Enhance your development skills by creating a supplier insights report

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

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

Challenge your data skills in creating an analysis report on substance

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

Use the data documenter tool to create an effective report template 

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