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 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 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 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. 

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 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 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.

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

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

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

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

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

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

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

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

Things to consider while layout designing (Color schemes, Fonts, Minimalist design, Visual hierarchy, Keep white space, Layout types)

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

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

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.

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

Produce insights for management level that can highlight any issues and prepare them for the audit

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

Work on one of the most significant measures for manufacturing productivity - OEE

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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