Data Transformation

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

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

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.

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.

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

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

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

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

Know how to filter the data using what-if parameters

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

Learn necessary elements to resolve granularities mismatches in different ways

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

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

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

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

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

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

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

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

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

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

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.

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!