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 Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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 navigates learners through real-world scenarios to cultivate problem-solving skills using the M language in Power Query.

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 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 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. 

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

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

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.

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

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.

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

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

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

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

Expert Lightning Round

Explore the incredible impact of Artificial Intelligence (AI) on the field of data professionals.

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

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

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

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

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

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

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

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.

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

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

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.

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.