Data Transformation

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

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

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

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

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

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

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

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

Get familiar with structured values in the M language and discover how to interact with them.

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.

Discover how to utilize ChatGPT within Power BI for enhanced data analysis, reporting, and interactive dashboards. Learn how to integrate ChatGPT into Power BI to create dynamic and conversational visualizations.

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

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

Using in-built standard Excel tools, we will explore how to reduce uncertainty in decision-making with sensitivity and scenario analysis

Expert Lightning Round

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

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

Know the techniques in creating indexes and how to loop efficiently using DAX

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

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

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

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

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

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

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

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!

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.