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 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 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 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 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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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

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

Create stunning visualizations without advanced DAX knowledge

Build a solid foundation in using Power BI.

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

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

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

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.

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

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

Discover how to add formatting tricks to visuals using DAX expressions

Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters

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

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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

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

Challenge your data skills in creating an analysis report on substance

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