Data Visualization

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 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 become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.

This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.

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 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 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.

Build a solid foundation in using Power BI.

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

Create different types of reports within the report builder, Paginated Report

Discover the key to unlocking insights and making informed decisions through data.

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

Create any custom visualization using the well-established Vega languages for interactive graphic

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.

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.

Sam McKay talks to Paul Lucassen, one of our Enterprise DNA experts, about the role of geospatial data analytics in the transportation and logistics industry

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

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

Learn how to create your own interactive infographics, and combine your data with images, icons and animations to bring it to life

Learn how to choose the correct visualizations that best fit consumer data questions based on five visualization families

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

Achieve design consistency using different elements in your Power BI report. 

What are the basic mistakes people do when visualizing their data?

Challenge your data skills in creating an analysis report on substance

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

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process

Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

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

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

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

A “cheat sheet” can be useful. We hereby present a “cheat sheet” for Deneb and Vega-Lite that contains several small sections with context and code snippets