Data Transformation

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

This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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 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. 

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

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

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

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

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

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

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.

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

Using in-built standard Excel tools, we will explore how to reduce uncertainty in decision-making with sensitivity and scenario analysis

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

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

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

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

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

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

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

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

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

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

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

Create a report summary of the overall services provided by a Call Centre for its management

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

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

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.