Data Visualization

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 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.

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

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 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. 

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.

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

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.

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.

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

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

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

Review a number of techniques specifically around dashboarding in Power BI.

Design your very own KPI card and status bar and make all these elements fully Dynamic with DAX

What is a story? How should we apply the concept of storytelling to data visualization?

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

Learn how you can create, share, and deploy applications and streamline processes across your organization using PowerApps and Power Automate

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

Discover how to add formatting tricks to visuals using DAX expressions

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

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

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

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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.

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