Business Analytics

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

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 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 Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 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.

Review some of the best practices to refine your Power BI development skills

This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

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

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

Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Greg.

Learn what sells well together and analyze product sales for upsell opportunities and

Discover how to visualize, debug, validate and solve complex DAX problems using Excel

Create effective project management dashboards

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

The session include function Let and how to declare and using parameters in Power Query and DAX

Learn advanced scenario analysis techniques and enhance your related distinct counts

Challenge yourself to produce a report which gives HR insight into the consultation process. 

Show off your impressive financial report! We are confident that your financial report is a testament to your skills and expertise. We would love to see how you've structured it and how you've made it visually appealing.

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

An opportunity to design and build a report that gives insights into customer behavior

Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.

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

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries