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

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 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 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 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 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.

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

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

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

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

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

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.

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

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.

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

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

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

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

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

Scale up your customer service management to drive transformation of data into compelling reports with Power BI

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

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

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.

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

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

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

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

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

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

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!

This offers techniques to retrieve and manipulate data based on specific row indexes or key matches, enhancing the flexibility and precision of data analysis.