Statistical and Predictive Modeling for Analytics I

Several statistical and predictive models are presented in the course to assist students in making business decisions based on data analytics and predictive models. Students apply these models to real-world business challenges. As a result, they will propose optimal methods for integrating and calibrating these models and algorithms to enhance data quality, usability, and predictive analysis, thus improving the overall management of system workloads and business decisions.

Notes:

This course is part of the Data Analytics for Business Decision Making (Graduate Certificate) which has minimum computer requirements. Please visit the program page to ensure you meet the requirements prior to enrolling into this course.

Textbook materials will be provided by Instructor within the course.

Course Delivery Method:

This course is delivered Online Asynchronously. For more information on the delivery methods, click here.