Data Visualization

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 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 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 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 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 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 stunning visualizations without advanced DAX knowledge

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

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

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

Build a solid foundation in using Power BI.

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

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

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.

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

In this session, we'll look at easy techniques to make your charts more effective and easier to understand, no matter if they are in Excel or PowerPoint.

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

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

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

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

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

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

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 a report or dashboard to help management visualize what is happening on the new app

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

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