Data Visualization

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

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 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 become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.

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

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

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.

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

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

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

Create stunning visualizations without advanced DAX knowledge

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

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Create powerful and informative data visualizations with Key Performance Indicators and formatting with calculation groups

Learn number of ways to create new visualizations and features including layering visuals, customizing visual formatting, and/or utilizing DAX measures

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

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

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

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

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

Challenge your data skills in creating an analysis report on substance

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

Create a report summary of the overall services provided by a Call Centre for its management

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

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

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

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