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 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 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 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 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 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.

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.

Create stunning visualizations without advanced DAX knowledge

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

Build a solid foundation in using Power BI.

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

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

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

Review a number of techniques specifically around dashboarding in Power BI.

Learn how to choose the correct visualizations that best fit consumer data questions based on five visualization families

Use Power Query/ M effectively to prepare data for analysis

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

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

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

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

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

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

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

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

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