Business Analytics

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

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.

Learn how to transfer your knowledge of SQL to DAX and vice versa

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

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

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

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

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

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

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.

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 a range of advanced techniques in Power BI using DAX

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

In just a few short years, Power BI has come from nowhere to become the business intelligence software of choice. This brief overview addresses the way forward for financial modeling. 

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

We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.

Review discrete events with scenario applied

Learn advanced scenario analysis techniques and enhance your related distinct counts

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.

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.

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

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

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

Use the data documenter tool to create an effective report template 

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.