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 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 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 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 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 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 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.

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.

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

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 transfer your knowledge of SQL to DAX and vice versa

Build a strong foundation on your MS Excel skills as you progress to advanced level

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

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

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

Streamline business processes through automation with no code

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

Let's dive into historical oil drilling output globally and see how production has trended over time

Challenge Submission Review

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

Learn necessary elements to resolve granularities mismatches in different ways

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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.

Enhance your development skills by creating a supplier insights report

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

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.

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

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