Business Analytics

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 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 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 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 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 Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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 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.

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

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.

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

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

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

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

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 the 10 different elements in building a data-oriented career

Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports

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

Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters

Power BI Freestyle Session w/ Sam McKay

Analyze product sales for upsell opportunities

On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas. 

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

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

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

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

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 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.

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