Data Transformation

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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on 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 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. 

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

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 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.

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

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

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

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.

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.

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

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

Discover the key points around OEE and producing a technically sound report

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

Learn the best practices for transforming data in the query editor

Create basic pipelines for data cleaning, visualization and modeling in R

How to build the ultimate Stream Deck profile - perform an array of common Power BI tasks at the push of a button

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

Challenge your data skills in creating an analysis report on substance

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 

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

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

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

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.