Data Transformation

This Learning Path dives into SharePoint and Power Apps, focusing on leveraging Power Automate for task automation and improved user interaction. 

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

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

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 data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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

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

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.

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.

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

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

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

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.

Use PDF conversion tools to disassemble and assemble tables within PDF documents

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

Explore structured columns containing Lists, Records or Tables

How to build the ultimate Stream Deck profile - perform an array of common Power BI tasks at the push of a button

Learn the best practices for transforming data in the query editor

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

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

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

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

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

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

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

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

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

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.