Data Transformation

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

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

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 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 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).

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.

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

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

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

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

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.

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

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

Know how to filter the data using what-if parameters

Critical thinking to improve problem solving and decision making

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

Learn the steps that an Enterprise BI team can take to implement application lifecycle management (ALM) in their Power BI environment

Get to telling your story faster within power BI with various automation tools and techniques

Explore structured columns containing Lists, Records or Tables

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

Provide a business solution by creating an intelligence tool to use by large opticians

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

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 by creating a report on transport and shipping data 

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

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

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

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

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 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.