Advanced Analytics

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

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

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

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

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

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

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

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

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

Relationship best practices in Power BI

Create compelling Power BI market reports

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

Learn how to create clear and consistent reports in Power BI

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

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

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

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

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

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

Use the data documenter tool to create an effective report template 

Challenge your data skills in creating an analysis report on substance

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