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

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 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 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 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 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 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.

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

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

Review some of the best practices to refine your Power BI development skills

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

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

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

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

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

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

Review discrete events with scenario applied

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

Learn the steps on how to collaboratively design a star schema with your business users and ensure that the schema meets the needs of the organization

Create reusable, templatized offset measures to further simplify and speed DAX analyses

Learn advanced scenario analysis techniques and enhance your related distinct counts

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

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 

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

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.

Enhance your development skills by creating a supplier insights report

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

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

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