Data Modeling

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 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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

This Learning Path enables individuals to proficiently use Power BI and other Power Platform tools. It prepares business analysts for the PL-900 exam.

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

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.

Deepen your understanding of the Power Query/M concepts through practical application

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

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

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

Dive into data with Python! Transform raw data into actionable insights, mastering data preparation, wrangling, and modeling. Start your data science journey today.

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

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

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Discover specific cleaning and modeling techniques to ensure data accuracy and reliability

Learn the whole process from getting data, creating a data model with a date table, measure table and calculation groups

We'll be reviewing a number of techniques specifically around reporting dashboards in Power BI.

Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.

Challenge your data skills in creating an analysis report on substance

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

Create a report summary of the overall services provided by a Call Centre for its management

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

Work on one of the most significant measures for manufacturing productivity - OEE

Take on the challenge of creating an analysis report on hotels revenue management data.

Create a summary report, a task that for many data analysts will always find its way across the desk every so often