Advanced Analytics

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

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

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 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. 

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

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

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

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

Learn a range of advanced techniques in Power BI using DAX

Master complex data model techniques especially when running forecasting analysis

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.

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

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

Relationship best practices in Power BI

Discover various Data Time Manipulation techniques in SQL

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

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

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

Use the data documenter tool to create an effective report template 

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

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

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

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