Data Transformation

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

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

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

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

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

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

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

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

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

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

Find out how Sidekick can help to review, optimize & cleanup your dataset and reports

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

Transfer your Excel skills into Power BI seamlessly.

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

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

Use PDF conversion tools to disassemble and assemble tables within PDF documents

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

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

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

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

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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.