Data Visualization

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 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 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 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 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 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. 

Create stunning visualizations without advanced DAX knowledge

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

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

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

Discover how to utilize ChatGPT within Power BI for enhanced data analysis, reporting, and interactive dashboards. Learn how to integrate ChatGPT into Power BI to create dynamic and conversational visualizations.

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

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

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

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

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

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

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

Learn how to choose the correct visualizations that best fit consumer data questions based on five visualization families

Achieve design consistency using different elements in your Power BI report. 

Challenge your data skills in creating an analysis report on substance

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

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

Take on the challenge of creating an analysis report on hotels revenue management data.

Take a deep dive into the world of utilisation and timesheet data

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

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

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