Data Transformation

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.

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

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

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.

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

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

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.

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

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.

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

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

Learn how to use Python to accomplish different outputs inside Power BI.

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

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

Explore the incredible impact of Artificial Intelligence (AI) on the field of data professionals.

Learn the best practices for transforming data in the query editor

Critical thinking to improve problem solving and decision making

Learn necessary elements to resolve granularities mismatches in different ways

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.

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

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 

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

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

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

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 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.