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 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 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 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 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.

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

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

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

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

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

Design your very own KPI card and status bar and make all these elements fully Dynamic with DAX

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

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

We'll be reviewing a number of techniques specifically around reporting dashboards in Power BI.

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

Learn how to create your own interactive infographics, and combine your data with images, icons and animations to bring it to life

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

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

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

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

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

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

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