Data Visualization

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 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 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 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 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.

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

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

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

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.

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

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

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

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

Review the best reports we've seen from historic Enterprise DNA Challenges

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

Learn how to developed compelling dashboards within Power BI using a range of analytical and visualisation techniques

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

See the Deneb custom visual for Power BI in-action with start-to-finish development of a bullet chart, a ring chart, and linked charts in Deneb/Vega-Lite

Creating basic tables and figures with R to check assumptions and communicate findings

Challenge your data skills by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

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

Analyze Enterprise DNA's Youtube Channel Data to understand its audience and create a strategy to drive more channel engagement.

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

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.

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

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

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