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

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

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

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

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

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. 

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

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

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

The different admin roles related to Power BI

Power BI Freestyle Session w/ Sam McKay

Learn the core areas of the winning entry around the 4 pillars of Power BI report development

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

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

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

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.

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

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.

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.

An opportunity to design and build a report that gives insights into customer behavior

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