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

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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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

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

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.

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

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

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.

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

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

Know how to filter the data using what-if parameters

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

Create external tool to generate the Enterprise DNA extended date table (Holidays, Some Date Intelligence Measures, Set Sort By)

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

Transfer your Excel skills into Power BI seamlessly.

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

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

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

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

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.

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

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

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

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

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!