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 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 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 advanced data analysis and modeling techniques all illustrated through practical scenarios.

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

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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

The first of the two-part 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.

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

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

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

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Transfer your Excel skills into Power BI seamlessly.

Explore structured columns containing Lists, Records or Tables

Learn necessary elements to resolve granularities mismatches in different ways

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

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

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

Create basic pipelines for data cleaning, visualization and modeling in R

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

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

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

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

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

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

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.