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 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 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 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 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. 

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).

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

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

Build a solid foundation in using Power BI.

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

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

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

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

Join a casual conversation with eDNA Expert team. They will review the technical aspects of the COVID dashboard.

Learn how you can create, share, and deploy applications and streamline processes across your organization using PowerApps and Power Automate

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

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

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

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

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

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

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.

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

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

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

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

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