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 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 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 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 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.

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.

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

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

Create stunning visualizations without advanced DAX knowledge

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

Build a solid foundation in using Power BI.

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

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

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

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

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

Create time based cohort insights within Power BI.

Discover various techniques to enhance and upgrade native visuals in Power BI

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

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

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

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

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.

Challenge your data skills in creating an analysis report on substance

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

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

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

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