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

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.

Create stunning visualizations without advanced DAX knowledge

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

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

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.

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

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.

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.

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

The A to Z framework provides a step-by-step approach for beginners to implement data visualization effectively

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

Create time based cohort insights within Power BI.

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

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

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

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

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

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

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

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

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

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

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