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DATS201 - Analytical Methods I

Course Details

Course Code: DATS201 Course ID: 5078 Credit Hours: 3 Level: Undergraduate

This course provides students with the basic toolkit of statistical methods and models that practitioners use for regression, analysis of variance, and linear models. This toolkit could be based on Python or on R. Topics include descriptive statistics/data summaries, inference in simple and multiple linear regression, residual analysis, estimation and testing of hypothesis, transformations, polynomial regression, model building with real data, nonlinear regression and linear models. The course is not mathematically advanced but covers a large volume of material. (Prerequisites: DATS200, MATH302 and MATH220)





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
02/22/22 - 07/29/22 08/01/22 - 09/25/22 Summer 2022 Session I 8 Week session
05/21/22 - 11/04/22 11/07/22 - 01/01/23 Fall 2022 Session I 8 Week session

Current Syllabi

Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Book Title:An Introduction to Statistical Learning with Applications in R - e-book available in the APUS Online Library
ISBN:NTMO
Publication Info:USC Lib
Author:Gareth, James
Book Title:DATS201 - required software for this course is not covered by the APUS Book Grant. Purchase information is available here - https://apus.libguides.com/c.php?g=241438&p=3514444
ISBN:DATS Note

Previous Syllabi

Not current for future courses.