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 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 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 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. 

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 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.

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.

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

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

Create stunning visualizations without advanced DAX knowledge

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

Build a solid foundation in using Power BI.

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

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

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

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

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

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Incorporate multiple variables within function using List.Generate

Discover various techniques to enhance and upgrade native visuals in Power BI

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

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

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

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

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.

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

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