Data Transformation

This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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 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 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.

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

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. 

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.

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

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

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

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

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

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.

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

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

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

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

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

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

Explore structured columns containing Lists, Records or Tables

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

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

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

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.

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

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!