Data Transformation

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

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 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.

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.

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

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

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

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.

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

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

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

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

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

Discover the key points around OEE and producing a technically sound report

Create external tool to generate the Enterprise DNA extended date table (Holidays, Some Date Intelligence Measures, Set Sort By)

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

Critical thinking to improve problem solving and decision making

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

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

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

Challenge your data skills in creating an analysis report on substance

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

Provide a business solution by creating an intelligence tool to use by large opticians

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

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

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

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.

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!