Data Visualization

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

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.

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.

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

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

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

Know the basics and considerations in creating mobile report

Use Power Query/ M effectively to prepare data for analysis

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

Create compelling Power BI market reports

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

Create powerful and informative data visualizations with Key Performance Indicators and formatting with calculation groups

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

Enhance your development skills by creating a supplier insights report

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

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

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Challenge your data skills in creating an analysis report on substance

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

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.

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