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

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 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 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 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 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.

Build a solid foundation in using Power BI.

Create stunning visualizations without advanced DAX knowledge

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

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.

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

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.

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

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

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

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

Find out why pattern recognition results in faster and better understanding

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

Build a comprehensive and compelling Power BI report within an hour from scratch!

Create reusable, templatized offset measures to further simplify and speed DAX analyses

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

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

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

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

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

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

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.

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

Challenge your data skills in creating an analysis report on substance

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