Data Visualization

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 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 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 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 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 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.

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

Create stunning visualizations without advanced DAX knowledge

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

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.

Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights

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

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

Learn how to create interactive Excel charts using the Excel's new functions: Dynamic Arrays.

Create reusable, templatized offset measures to further simplify and speed DAX analyses

View Replays of the August 2022 Business Intelligence Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...

Learn key principles from user experience and design and how to thoughtfully integrate them into your data viz workflow.

Use Power Query/ M effectively to prepare data for 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 a deep dive into the world of utilisation and timesheet data

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

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

Implement your analytical skills in creating a report of the entire business operation from production to forecasting.

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

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