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

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

This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

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

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

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

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.

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

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

Master complex data model techniques especially when running forecasting analysis

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

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

Develop advanced Power BI analytical techniques

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

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

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

Enhance your development skills by creating a supplier insights report

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

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

Challenge your data skills in creating an analysis report on substance

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.

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.