Data Visualization

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 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 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 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 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 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 build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

Build a solid foundation in using Power BI.

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

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

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

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

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

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.

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

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

Discover various techniques to enhance and upgrade native visuals in Power BI

Perform dynamic analysis of data through context transition in DAX

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

Create GIFs with a screen recording tool and convert them into a DAX measure

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

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

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

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

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.

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

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

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

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