Data Visualization

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 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 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 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 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.

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.

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

Create stunning visualizations without advanced DAX knowledge

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

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.

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

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

Boost your productivity and performance by mastering Microsoft’s latest technology updates

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

Master Power BI development techniques

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

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

Learn how to developed compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

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

Enhance your development skills by creating a supplier insights report

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

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 by producing a report that gives the user the ability to select a currency and see the associated sales and cost

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

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