Data Transformation

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

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 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 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 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 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.

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.

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.

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

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.

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.

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

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

Learn how to build external tools for Power BI. The highlights of what you need to do, what you need to be thinking about in terms of creating an external tool for Power BI

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

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

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

How to build the ultimate Stream Deck profile - perform an array of common Power BI tasks at the push of a button

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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

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.