Data Visualization

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 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 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 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.

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

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

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.

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

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

Create stunning visualizations without advanced DAX knowledge

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

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

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

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

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

Bring your data to life and make it more interactive and accessible by incorporating live Power BI reports into Power Apps

Discover how to add formatting tricks to visuals using DAX expressions

Review the best reports we've seen from historic Enterprise DNA Challenges

Create GIFs with a screen recording tool and convert them into a DAX measure

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

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

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

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

Create a report or dashboard to help management visualize what is happening on the new app

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

Enhance your development skills by creating a supplier insights report

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