Course Description

This course is designed to equip learners with the analytical and technical skills required to make data-driven decisions in business environments. Students will explore the fundamentals of business intelligence, data visualization, and AI applications in real-world scenarios such as sales forecasting, customer segmentation, and operational optimization. Tools covered include Microsoft Excel, Power BI, Python, and introductory machine learning models. The course blends case studies and hands-on projects to bridge the gap between business strategy and technical implementation. Explore how data-driven decision-making shapes modern businesses using AI tools and analytics. This course offers hands-on insight into how industries optimize processes and customer experience.

• Who Should Enroll?

  - Business students - Data-curious professionals - Entrepreneurs looking to use AI in operations

• Why It Matters Now

  Companies now expect AI-literate employees who can use data to drive impact. This course builds those future-ready skills.
• Exit Profile

  Upon completion, students will be capable of analyzing business data, generating insights through visualization tools, and applying basic AI models to support decision-making. They will be ready to assist organizations in improving processes and predicting outcomes based on data.