Data Visualization

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 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 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 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 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.

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

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

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

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

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

Build a solid foundation in using Power BI.

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

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

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

Use Power Query/ M effectively to prepare data for analysis

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

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

Create reusable, templatized offset measures to further simplify and speed DAX analyses

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.

Incorporate multiple variables within function using List.Generate

Things to consider while layout designing (Color schemes, Fonts, Minimalist design, Visual hierarchy, Keep white space, Layout types)

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

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

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

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

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.

Challenge your data skills in creating an analysis report on substance

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

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