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 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 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 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.

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

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

Build a solid foundation in using Power BI.

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

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

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

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

Learn how you can create, share, and deploy applications and streamline processes across your organization using PowerApps and Power Automate

Incorporate multiple variables within function using List.Generate

Review a number of techniques specifically around dashboarding in Power BI.

Understand how to provide context to your visualisations to present arguments rather than statements

Learn how to combine queries to protect the fact tables in the tabular model

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

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

Work on one of the most significant measures for manufacturing productivity - OEE

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

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

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

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

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

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.

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