Data Visualization

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

Create stunning visualizations without advanced DAX knowledge

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

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.

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.

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

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

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

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

Use Power Query/ M effectively to prepare data for analysis

What are the basic mistakes people do when visualizing their data?

Learn how to use other data sources to filter and/or colorize individual objects of a 3D model in Power BI

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

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

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

Challenge your data skills in creating an analysis report on substance

Take a deep dive into the world of utilisation and timesheet data

Enhance your development skills by creating a supplier insights report

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

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

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

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