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 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 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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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 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 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 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.

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

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

Create stunning visualizations without advanced DAX knowledge

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

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

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

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

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

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

Stop wasting your valuable time in building or deciphering confusing visualizations and increase your insight

Incorporate multiple variables within function using List.Generate

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.

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

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)

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

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

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

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

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.

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