Data Transformation

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

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

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

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.

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

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

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

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

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

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

Learn the best practices for transforming data in the query editor

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

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

Explore structured columns containing Lists, Records or Tables

Know the techniques in creating indexes and how to loop efficiently using DAX

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

Transfer your Excel skills into Power BI seamlessly.

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

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

Challenge your data skills in creating an analysis report on substance

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.

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

Deep dive into the world of F1 and create an analysis of the drivers' stats

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

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.

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!