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 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 path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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

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.

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

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

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

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.

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.

One of the break-out session in our Reporting & Data Visualization Summit, showcasing a variety of beginner to advanced Power BI tips and techniques.

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Explore structured columns containing Lists, Records or Tables

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 advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

Know how to filter the data using what-if parameters

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

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

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.

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

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

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

Take a deep dive into the world of utilisation and timesheet data

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.