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

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 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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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.

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

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

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

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

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.

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.

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

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

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

Scale up your customer service management to drive transformation of data into compelling reports with Power BI

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

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

Learn how you can create, share, and deploy applications and streamline processes across your organization using PowerApps and Power Automate

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

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

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

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 

Take on the challenge of creating an analysis report on hotels revenue management data.

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

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

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

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.