Data Visualization

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

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

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

Create stunning visualizations without advanced DAX knowledge

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

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

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.

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

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.

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

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

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

Boost your productivity and performance by mastering Microsoft’s latest technology updates

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

Find out why pattern recognition results in faster and better understanding

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

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

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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