Data Visualization

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

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

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

Build a solid foundation in using Power BI.

Create stunning visualizations without advanced DAX knowledge

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

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.

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.

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

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

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.

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

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

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

Challenge your data skills in creating an analysis report on substance

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

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

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

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

Create a report or dashboard to help management visualize what is happening on the new app

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

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