Data Visualization

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 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.

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 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 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. 

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

Build a solid foundation in using Power BI.

Create stunning visualizations without advanced DAX knowledge

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.

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.

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

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

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

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

Challenge your data skills in creating an analysis report on substance

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.

Work on one of the most significant measures for manufacturing productivity - OEE

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

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

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

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