Data Visualization

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 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 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 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 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 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 Learning Path enables individuals to proficiently use Power BI and other Power Platform tools. It prepares business analysts for the PL-900 exam.

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

Build a solid foundation in using Power BI.

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

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

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

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.

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

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

Learn how to create your own interactive infographics, and combine your data with images, icons and animations to bring it to life

Understand the concept and anatomy of the Analytics Hub concept in Power BI and showcase modern prototyping and wireframing

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

Use Power Query/ M effectively to prepare data for analysis

Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques. 

Advanced Tooltip Techniques

Enhance your development skills by creating a supplier insights report

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

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

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

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

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

Work on one of the most significant measures for manufacturing productivity - OEE

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