Business Analytics

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

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

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

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

Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations

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

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

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

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

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

Perform dynamic analysis of data through context transition in DAX

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

Power BI Freestyle Session w/ Sam McKay

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

Use Power Query/ M effectively to prepare data for analysis

We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.

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

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

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

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.

Use the data documenter tool to create an effective report template 

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

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.

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.