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 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 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 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 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. 

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

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

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

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

Create stunning visualizations without advanced DAX knowledge

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.

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

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

Know the basics and considerations in creating mobile report

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

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

Incorporate multiple variables within function using List.Generate

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

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

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.

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

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

Enhance your development skills by creating a supplier insights report

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

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

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

Challenge your data skills in creating an analysis report on substance

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