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

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

This Learning Path offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

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

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

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

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

Level up your SQL query fluency even without prior SQL experience.

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

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

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

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

An overview on Azure ML and how to incorporate it with Power BI

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

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

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

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Develop advanced Power BI analytical techniques

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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.

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

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

Use the data documenter tool to create an effective report template 

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

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.