Data Transformation

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

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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.

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 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 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.

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

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

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.

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.

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

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

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

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

Expert Lightning Round

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

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

Transfer your Excel skills into Power BI seamlessly.

Know how to get DAX Query data from Power BI Desktop without having to write it yourself

Create basic pipelines for data cleaning, visualization and modeling in R

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

Learn how to use Python to accomplish different outputs inside Power BI.

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

Challenge your data skills in creating an analysis report on substance

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

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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

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

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!