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

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

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 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 data visualization and analysis techniques, with a special emphasis on Power BI.

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

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

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

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

An in depth overview of the entire Power BI suite, with a focus on using Power BI to extract compelling insights from your own data.

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

Explore structured columns containing Lists, Records or Tables

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

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

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

Expert Lightning Round

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

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

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

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

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

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

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

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.