The Role of Business Analysis in Data Analytics

In this course, business analysis thought leader Laura Paton provides an essential introduction to business data analytics for business analysis professionals, exploring the relationship of data analytics to related disciplines such as business analysis and data science. Explore the five core steps of analytics: formulating research questions, sourcing data, analyzing and interpreting data, and integrating insights into decision-making. Prepare for real-world scenarios as you dive into strategic applications, best practices, and common challenges in the field. By the end of the course, you will have a clear understanding of the tools, techniques, and skills necessary to build or contribute to a successful business analytics practice, positioning yourself for an impactful career in this field.

Learning objectives
Define the core concepts and processes of business data analytics and differentiate it from business analysis and data science.
Identify research questions and evaluate internal and external data sources to support analytics initiatives.
Apply data analysis techniques and interpret findings to create clear, actionable reports for stakeholders.
Evaluate the strategic value and challenges of implementing business data analytics within an organization.
Create a roadmap for developing the knowledge and skills required for a successful career in business data analytics.