Data Visualization

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

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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

Create stunning visualizations without advanced DAX knowledge

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

Build a solid foundation in using Power BI.

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.

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

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

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

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

Learn fun ways to utilize clickable buttons in your visualization form.

Discover how to add formatting tricks to visuals using DAX expressions

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

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.

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

Enhance your development skills by creating a supplier insights report

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

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

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

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