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 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 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 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 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.

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

Create stunning visualizations without advanced DAX knowledge

Build a solid foundation in using Power BI.

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

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.

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

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

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

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

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

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Achieve design consistency using different elements in your Power BI report. 

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

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

Create compelling Power BI market reports

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

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

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

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

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

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

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.

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

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