Program Overview

Predictive Analytics

The Predictive Analytics course is a hands-on program that helps students use predictive analytics to improve business performance. This is achieved through techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.

Course Details

• Duration: As few as 11 weeks
• Units: 4.0
• Current Formats: Online
• Cost: Starting at $1,100.00

Learning Outcomes

Students in this course can expect to learn how to:

• Identify instances where predictive analytics could be employed to gain insights for making good decisions
• Use predictive analytics to solve business, marketing, and economic problems

About This Course

This course dives into the concepts and techniques of predictive analytics and model engineering. Students will develop proficiency in the Python programming language, with a special emphasis on forecasting methodologies, optimization techniques, and product analysis frameworks. The course covers real-world applications, including:

• Customer churn prediction
• A/B testing analysis
• Demand forecasting
• Pricing optimization (via deep learning, objective functions, classification trees, NLP, or other models) Students will learn data preprocessing, model development, evaluation metrics, and the application of machine learning algorithms to solve high-impact business problems.

Prerequisites

• Recommended: COM SCI X 450.1 Introduction to Data Science

Spring 2026 Schedule

• Date: March 30 - June 8
• Format: Online
• Instructor: Ali El-Annan
• Fee: $1,100.00
• Notes: Enrollment limited; early enrollment advised. Enrollment deadline: April 5th, 2026.
• Deadline: Refunds only available from February 02, 2026 to April 12, 2026

Summer 2026 Schedule

• Date: June 22 - August 31
• Format: Online
• Instructor: Ali El-Annan
• Fee: $1,100.00
• Notes: Enrollment limited; early enrollment advised. Enrollment deadline: June 28th, 2026.
• Deadline: No refunds after June 15, 2026