Data Transformation

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

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

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

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.

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

The first of the two-part 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

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.

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

Expert Lightning Round

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

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

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

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

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

Critical thinking to improve problem solving and decision making

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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.