Advanced Analytics

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 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 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 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 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.

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

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

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

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

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

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

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

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

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

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

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

Learn beginner to advanced DAX function techniques

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

Relationship best practices in Power BI

Develop complex Power BI solutions

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

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

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

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

Enhance your development skills by creating a supplier insights report

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

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.

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.