Data Transformation

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

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 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 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 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 Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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.

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

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

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

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

Get to telling your story faster within power BI with various automation tools and techniques

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

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

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

Know how to filter the data using what-if parameters

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

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

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

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

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

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.

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

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.