Data Visualization

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 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 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 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 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 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 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.

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

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

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.

Build a solid foundation in using Power BI.

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

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

Create stunning visualizations without advanced DAX knowledge

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

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

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

What is a story? How should we apply the concept of storytelling to data visualization?

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

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

Understand how to provide context to your visualisations to present arguments rather than statements

Use Power Query/ M effectively to prepare data for analysis

Create powerful and informative data visualizations with Key Performance Indicators and formatting with calculation groups

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

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

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

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

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.

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

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