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

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

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

The second part of the 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.

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

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

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

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

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

Explore structured columns containing Lists, Records or Tables

Get to telling your story faster within power BI with various automation tools and techniques

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

Understand the overview of the new DAX functions – OFFSET, INDEX, WINDOW, EVALUATEANDLOG, TOJSON and TOCSV

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

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

Using in-built standard Excel tools, we will explore how to reduce uncertainty in decision-making with sensitivity and scenario analysis

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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!