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 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 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 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. 

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 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.

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.

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

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.

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.

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

Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters

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

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

Use Power Query/ M effectively to prepare data for analysis

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

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

Learn fun ways to utilize clickable buttons in your visualization form.

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.

Enhance your development skills by creating a supplier insights report

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

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

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

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

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