Forecasting and Predictive Analytics – BUSI 405
CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 02/01/2024
Course Description
This course covers methods of collecting data, discovering data patterns, and selecting appropriate forecasting techniques. Time series, regression forecasting techniques, and classification models are introduced.
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Rationale
Understanding and being able to forecast relevant business and economic variables are vital for decision makers in companies or governments. This course provides the most useful quantitative techniques in business and economic forecasting. Excel-Based ForecastX computer software is used.
Course Assignment
Textbook readings and presentations
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussions(8)
After reviewing the Learn material from the assigned Module: Week, the student will post at least 2 points that he/she has learned from them and at least 1 question that he/she may have. The student will also respond to at least 2 of his/her classmates.
Homework Assignments(8)
The student will complete specific Homework questions found in the Exercises section at the end of the assigned reading material.
Quizzes (4)
The student will complete 4 quizzes based on the textbook readings. Each quiz will consist of 30-multiple-choice questions and have a one-hour time limit.
