Predictive Analytics

COM SCI X 450.7

This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.

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What you can learn.

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:

Dive into concepts and techniques of predictive analytics and model engineering. Students will develop proficiency in Python programming language, with 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, and pricing optimization(i.e. 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.