Data Transformation

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

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

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.

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. 

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 Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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

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.

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

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

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.

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

Transfer your Excel skills into Power BI seamlessly.

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

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

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

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

Discover the key points around OEE and producing a technically sound report

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

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

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

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

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

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

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

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

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 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.