Business Analytics

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

This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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 delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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

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.

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

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.

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

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

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

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

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

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

Learn many techniques for effective reporting around marketing & advertising campaigns effectiveness within Power BI.

Review a number of techniques specifically around developing high quality reporting solutions in Power BI.

Combining the power of the data model with high level analysis

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

Learn how to leverage the Power Platform to bring your Apps to the next level, based on the real business case

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

Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.

Use the data documenter tool to create an effective report template 

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

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

Enhance your development skills by creating a supplier insights report

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

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.

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.