Data Visualization

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

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 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 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.

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 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.

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

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

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

Build a solid foundation in using Power BI.

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

Create stunning visualizations without advanced DAX knowledge

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

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.

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

Incorporate multiple variables within function using List.Generate

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Learn how to add images to your maps, draw lines and create choropleth maps

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

What are the basic mistakes people do when visualizing their data?

Create compelling Power BI market reports

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

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

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

Create a report summary of the overall services provided by a Call Centre for its management

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