Data Visualization

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 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 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 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.

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

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

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

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

Create stunning visualizations without advanced DAX knowledge

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.

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

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

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

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

Learn - what is creativity in dataviz, what you need to be creative and where to find inspiration

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

The A to Z framework provides a step-by-step approach for beginners to implement data visualization effectively

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

Perform dynamic analysis of data through context transition in DAX

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

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

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

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

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

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

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