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 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 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 provides a thorough understanding of SQL, emphasizing key commands for data manipulation and 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 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 Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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

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

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

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

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

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

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

Master complex data model techniques especially when running forecasting analysis

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

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Create compelling Power BI market reports

Learn the best practices for transforming data in the query editor

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

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

Challenge your data skills in creating an analysis report on substance

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

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

Deep dive into the world of F1 and create an analysis of the drivers' stats

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.

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

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.