Advanced Analytics

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 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 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 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 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 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 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 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.

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

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.

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

Create compelling Power BI market reports

Master complex data model techniques especially when running forecasting analysis

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

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.

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

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

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

Challenge your data skills in creating an analysis report on substance

Use the data documenter tool to create an effective report template 

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

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

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.

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

Enhance your development skills by creating a supplier insights report

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