Data Transformation

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

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

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

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 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 navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

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

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

Data Transformation with AI is an immersive course that delves into the world of Data Science and Artificial Intelligence. You'll gain essential knowledge and skills to harness the power of data and build intelligent systems. Topics include data analysis, machine learning, deep learning, and ethical AI considerations, making this course suitable for beginners and those seeking to advance their expertise.

Get familiar with structured values in the M language and discover how to interact with them.

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

Acquire an extensive knowledge and understanding of the Power Query and M language to help you easily transform your data from multiple sources into Power BI

Discover how to utilize ChatGPT within Power BI for enhanced data analysis, reporting, and interactive dashboards. Learn how to integrate ChatGPT into Power BI to create dynamic and conversational visualizations.

Expand your Power BI report by integrating it with Power Platform applications to incorporate capabilities above and beyond just reporting on insights.

Transfer your Excel skills into Power BI seamlessly.

Explore structured columns containing Lists, Records or Tables

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

Know how to get DAX Query data from Power BI Desktop without having to write it yourself

Explore structured columns containing Lists, Records or Tables

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

Learn the steps that an Enterprise BI team can take to implement application lifecycle management (ALM) in their Power BI environment

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

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

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

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

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

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

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.

When programming in Python, having a reliable cheat sheet by your side can be a game-changer. Python may be known for its simplicity and readability, but there’s no denying that its extensive range of features and functionalities is too much to memorize!

This SQL cheat sheet gives you the most common SQL objects and commands, including data types, DML and DDL statements, aggregate functions, string and date functions, and subqueries.