Data Visualization

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 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 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 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 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 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. 

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

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

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

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

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

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

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

Join a casual conversation with eDNA Expert team. They will review the technical aspects of the COVID dashboard.

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

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

Advanced Tooltip Techniques

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

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

Learn fun ways to utilize clickable buttons in your visualization form.

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

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

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

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

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

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

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

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