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 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 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 designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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 data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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).

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

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

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.

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

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

Explore structured columns containing Lists, Records or Tables

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

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

Transfer your Excel skills into Power BI seamlessly.

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

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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!