Strategic Business Analytics Specialization Course Syllabus

Overview: This specialization is designed for beginners and spans approximately 19 weeks of content, with a recommended commitment of 3-5 hours per week. It combines technical analytics with strategic business thinking, teaching learners how to transform data into actionable strategies and communicate insights effectively to executives. The course concludes with a hands-on capstone project that integrates predictive modeling, experimentation, and strategic decision-making.

Module 1: Foundations of Strategic Analytics

Estimated time: 12 hours

• Analytics maturity framework
• Data infrastructure requirements
• Building an analytics culture
• ROI measurement frameworks

Module 2: Predictive Modeling

Estimated time: 15 hours

• Regression techniques
• Time series forecasting
• Classification algorithms
• Model evaluation metrics

Module 3: Business Experimentation

Estimated time: 12 hours

• A/B test design
• Multivariate testing
• Statistical significance
• Interpreting test results

Module 4: Applied Business Cases

Estimated time: 18 hours

• Customer lifetime value modeling
• Price optimization
• Marketing mix modeling

Module 5: Capstone Project

Estimated time: 20 hours

• Design a predictive model for a real-world business scenario
• Conduct an A/B test and present executive-ready results
• Deliver a strategic recommendation dashboard

Prerequisites

• Familiarity with basic business concepts
• Basic understanding of data and spreadsheets
• High school-level math (for interpreting models)

What You'll Be Able to Do After

• Apply predictive modeling techniques to business strategy
• Use machine learning to solve real-world business problems
• Design and interpret A/B tests for business decisions
• Create data visualization dashboards for executives
• Optimize pricing and marketing strategies using analytics