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

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 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).

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

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.

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.

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.

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

Create GIFs with a screen recording tool and convert them into a DAX measure

Build a minimalistic report in PBI with PowerPoint template and icons.

Create reusable, templatized offset measures to further simplify and speed DAX analyses

Discover how to add formatting tricks to visuals using DAX expressions

Bring your data to life and make it more interactive and accessible by incorporating live Power BI reports into Power Apps

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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

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

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

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

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.

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