Data Transformation

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

This Learning Path dives into SharePoint and Power Apps, focusing on leveraging Power Automate for task automation and improved user interaction. 

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

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.

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

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.

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.

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

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

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

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

How to create your own custom quick measures - create once, and apply them in every future report you do

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

Explore the incredible impact of Artificial Intelligence (AI) on the field of data professionals.

Learn the steps that an Enterprise BI team can take to implement application lifecycle management (ALM) in their Power BI environment

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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.