Data Visualization

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

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 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 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 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

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

Build a solid foundation in using Power BI.

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

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

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.

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

Discover the key to unlocking insights and making informed decisions through 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

Know the basics and considerations in creating mobile report

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

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

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

Understand the concept and anatomy of the Analytics Hub concept in Power BI and showcase modern prototyping and wireframing

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

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

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