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 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 modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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 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 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!

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

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

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

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

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

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

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

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

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

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

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

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

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

Use the data documenter tool to create an effective report template 

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.

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

Challenge your data skills in creating an analysis report on substance

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 

Enhance your development skills by creating a supplier insights report

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