Business Analytics

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

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. 

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

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

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

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

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. 

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

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

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

The different admin roles related to Power BI

An incredible development technique and concept on creating dynamic Power BI reports.

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

Learn necessary elements to resolve granularities mismatches in different ways

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

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

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. 

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

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.

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.

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 

Enhance your development skills by creating a supplier insights report