Data Transformation

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

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

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 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 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.

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

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

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

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.

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

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

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.

Know how to filter the data using what-if parameters

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

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

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

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

Discover how to add, view, edit, delete data from Microsoft Dataverse

One of the break-out session in our Reporting & Data Visualization Summit, showcasing a variety of beginner to advanced Power BI tips and techniques.

Learn how to use Python to accomplish different outputs inside Power BI.

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

Challenge your data skills in creating an analysis report on substance

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

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

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

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

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.