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 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 provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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 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 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.

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

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

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

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

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

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. 

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

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

Know the the importance on reading about data visualization theory and the benefits of Zebra BI visuals for Power BI reports

Learn a range of advanced techniques in Power BI using DAX

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

Learn simple yet effective techniques which can be used by anyone in your organization to discover valuable insights from their data sets

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

Learn how to combine queries to protect the fact tables in the tabular model

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

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. 

Provide a business solution by creating an intelligence tool to use by large opticians

Use the data documenter tool to create an effective report template 

Enhance your development skills by creating a supplier insights report

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 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.

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