Data Transformation

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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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 dives into SharePoint and Power Apps, focusing on leveraging Power Automate for task automation and improved user interaction. 

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 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 data visualization and analysis techniques, with a special emphasis on Power BI.

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

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

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

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.

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

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.

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

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

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

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

Get to telling your story faster within power BI with various automation tools and techniques

Discover how to add, view, edit, delete data from Microsoft Dataverse

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

How to build the ultimate Stream Deck profile - perform an array of common Power BI tasks at the push of a button

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

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

Know the techniques in creating indexes and how to loop efficiently using DAX

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

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

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

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

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

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 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.