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

This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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 path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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.

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

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

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

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

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

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

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

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

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

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

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

Discover advanced data modeling and DAX techniques to speed up DAX query execution

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

Relationship best practices in Power BI

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.

Challenge your data skills in creating an analysis report on substance

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

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

Enhance your development skills by creating a supplier insights report

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

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

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