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

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 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 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. 

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

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

Create stunning visualizations without advanced DAX knowledge

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

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

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

Showcase the best practice techniques how the winning entry was built.

Use Power Query/ M effectively to prepare data for analysis

Perform dynamic analysis of data through context transition in DAX

Sneak Peak Into Upcoming Versions of HTML Custom Visuals with Pascal Kiefer

Build a comprehensive and compelling Power BI report within an hour from scratch!

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.

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

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

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

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

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.

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

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

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

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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