Data Visualization

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 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 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 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 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 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. 

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

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

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

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

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

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

Build a solid foundation in using Power BI.

Create stunning visualizations without advanced DAX knowledge

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 how to add images to your maps, draw lines and create choropleth maps

Create GIFs with a screen recording tool and convert them into a DAX measure

Perform dynamic analysis of data through context transition in DAX

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

Creating basic tables and figures with R to check assumptions and communicate findings

Review the best reports we've seen from historic Enterprise DNA Challenges

Let's dive into historical oil drilling output globally and see how production has trended over time

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

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

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

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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

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.

Challenge your data skills in creating an analysis report on substance

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

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