Data Visualization

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 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 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. 

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 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 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. 

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

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

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.

Create stunning visualizations without advanced DAX knowledge

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

Build a solid foundation in using Power BI.

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.

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.

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

Perform dynamic analysis of data through context transition in DAX

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.

Build a minimalistic report in PBI with PowerPoint template and icons.

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

Enhance your development skills by creating a supplier insights report

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

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

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

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

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

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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