Advanced Analytics

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 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 provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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 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 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 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.

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

Improve the overall performance of your DAX measures using the DAX Studio

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

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

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

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

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 to create clear and consistent reports in Power BI

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

Expert Lightning Round

Learn the best practices for transforming data in the query editor

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

Learn a range of advanced techniques in Power BI using DAX

Use the data documenter tool to create an effective report template 

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

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

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.

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

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.