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 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 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 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 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.

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

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

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

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

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.

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

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

Expand Power BI's capabilities in accessing a wide range of data using APIs

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

Learn beginner to advanced DAX function techniques

Covers the use of quick measures and the features

Master complex data model techniques especially when running forecasting analysis

Relationship best practices in Power BI

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

Develop advanced Power BI analytical techniques

Enhance your development skills by creating a supplier insights report

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

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 by creating a report on transport and shipping data 

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.

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