Data Visualization

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 Learning Path enables individuals to proficiently use Power BI and other Power Platform tools. It prepares business analysts for the PL-900 exam.

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 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 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 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.

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

Build a solid foundation in using Power BI.

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.

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

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

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

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

Deep dive into creating your own reusable custom visuals using Microsoft's Charticulator tool

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

Let's dive into historical oil drilling output globally and see how production has trended over time

What is a story? How should we apply the concept of storytelling to data visualization?

Create powerful and informative data visualizations with Key Performance Indicators and formatting with calculation groups

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

Know the basics and considerations in creating mobile report

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

Learn - what is creativity in dataviz, what you need to be creative and where to find inspiration

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

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

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

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

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