Business Analytics

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 Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 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 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).

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

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

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.

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

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

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

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

The session include function Let and how to declare and using parameters in Power Query and DAX

Build a comprehensive and compelling Power BI report within an hour from scratch!

Analyze product sales for upsell opportunities

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

Perform dynamic analysis of data through context transition in DAX

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.

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. 

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.

Enhance your development skills by creating a supplier insights report

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

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