Business Analytics

This path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code.

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

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 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 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.

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

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

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

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

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

Use Power Query/ M effectively to prepare data for analysis

Combining the power of the data model with high level analysis

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

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

Supply chain management involves the flow of goods and services.

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

Enhance your development skills by creating a supplier insights report

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.

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

Use the data documenter tool to create an effective report template 

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.

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