Data Transformation

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

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 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 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 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

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

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.

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

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

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.

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.

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

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

Learn the best practices for transforming data in the query editor

Discover how to add, view, edit, delete data from Microsoft Dataverse

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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.

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!