Data Transformation

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

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

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

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.

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

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

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

Know how to filter the data using what-if parameters

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

Explore structured columns containing Lists, Records or Tables

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

Transfer your Excel skills into Power BI seamlessly.

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

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

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

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

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

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

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

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

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

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

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!