2021-2022 Academic Catalog

Nov 24, 2024

2021-2022 Academic Catalog [ARCHIVED CATALOG]

STAT 4600 - Intermediary Statistical Modeling for Analytics

Intermediary Statistical Modeling for Analytics, together with Machine Learning, provides an overview of techniques drawn from the fields of machine learning, datamining, and statistics. The goal of these two courses is to prepare students with an intellectual framework for problem-solving.

This course emphasizes the understanding of descriptive and diagnostic methodologies to identify key aspects of a business question, from data collection to the formulation and testing of hypotheses. As such, this course is essentially a data science course with an emphasis on statistical methodologies. At the same time, the course emphasizes the practical aspects of business analytics by embedding the methodologies in applications and by underlining the general objective of improving the speed, reliability, and quality of decisions. Topics include sampling, inferential statistics, ANOVA, linear regression, and logistic regression. The course uses real-life data sets as illustrations, and R and Python to build answers to business questions.

Previously Titled “STAT 4600 Big Data Statistics I”

Prerequisites: STAT 4450 and BAN 4550

Anticipated Terms Offered: Offered annually