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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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 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.

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

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.

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

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.

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

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.

Expand your Power BI report by integrating it with Power Platform applications to incorporate capabilities above and beyond just reporting on insights.

Critical thinking to improve problem solving and decision making

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

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Use PDF conversion tools to disassemble and assemble tables within PDF documents

One of the break-out session in our Reporting & Data Visualization Summit, showcasing a variety of beginner to advanced Power BI tips and techniques.

Learn necessary elements to resolve granularities mismatches in different ways

Know how to filter the data using what-if parameters

Learn the best practices for transforming data in the query editor

Challenge your data skills by creating a report on transport and shipping data 

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

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

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

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

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

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

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.