Data Transformation

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

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on 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 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 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 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 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.

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

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

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.

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

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

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

Find out how Sidekick can help to review, optimize & cleanup your dataset and reports

Learn how to build external tools for Power BI. The highlights of what you need to do, what you need to be thinking about in terms of creating an external tool for Power BI

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

Transfer your Excel skills into Power BI seamlessly.

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

How to create your own custom quick measures - create once, and apply them in every future report you do

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

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

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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.

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