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

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 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 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.

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

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

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

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

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.

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

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

Create basic pipelines for data cleaning, visualization and modeling in R

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

Find out how Sidekick can help to review, optimize & cleanup your dataset and reports

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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.

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.