Data Visualization

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 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 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.

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 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. 

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

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

Create stunning visualizations without advanced DAX knowledge

Build a solid foundation in using Power BI.

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.

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

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

Boost your productivity and performance by mastering Microsoft’s latest technology updates

See how to build a report with the native visuals that come with Power BI and make them look good.

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

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

Review a number of techniques specifically around dashboarding in Power BI.

Learn how to combine queries to protect the fact tables in the tabular model

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.

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

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

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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.

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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