Data Transformation

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

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

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. 

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

Deepen your understanding of the Power Query/M concepts through practical application

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

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

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

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.

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.

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

Learn necessary elements to resolve granularities mismatches in different ways

Understand the overview of the new DAX functions – OFFSET, INDEX, WINDOW, EVALUATEANDLOG, TOJSON and TOCSV

Know how to get DAX Query data from Power BI Desktop without having to write it yourself

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)

Transfer your Excel skills into Power BI seamlessly.

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

Learn how to build external tools for Power BI. The highlights of what you need to do, what you need to be thinking about in terms of creating an external tool for Power BI

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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 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.