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 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 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 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 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 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.

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

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

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

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

Build a solid foundation in using Power BI.

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

Create time based cohort insights within Power BI.

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.

Learn how to create interactive Excel charts using the Excel's new functions: Dynamic Arrays.

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

Join a casual conversation with eDNA Expert team. They will review the technical aspects of the COVID dashboard.

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

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

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

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

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.

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