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 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).

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 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 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 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.

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.

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

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.

Create stunning visualizations without advanced DAX knowledge

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

Create different types of reports within the report builder, Paginated Report

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

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

Perform dynamic analysis of data through context transition in DAX

Learn number of ways to create new visualizations and features including layering visuals, customizing visual formatting, and/or utilizing DAX measures

Learn how to developed compelling dashboards within Power BI using a range of analytical and visualisation techniques

The A to Z framework provides a step-by-step approach for beginners to implement data visualization effectively

Learn how to create interactive Excel charts using the Excel's new functions: Dynamic Arrays.

Learn the whole process from getting data, creating a data model with a date table, measure table and calculation groups

Showcase the best practice techniques how the winning entry was built.

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

Enhance your development skills by creating a supplier insights report

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

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

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

Challenge your data skills in creating an analysis report on substance

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

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