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 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 data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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 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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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

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

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.

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

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

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

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

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

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.

Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.

Learn beginner to advanced DAX function techniques

Covers the use of quick measures and the features

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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