Data Visualization

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 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 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 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 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 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.

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.

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

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

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

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

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

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

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

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

Create reusable, templatized offset measures to further simplify and speed DAX analyses

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

Perform dynamic analysis of data through context transition in DAX

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

Design your very own KPI card and status bar and make all these elements fully Dynamic with DAX

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

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

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

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

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

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

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

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