Data Analysis

Course #OA3103

Est.imated Completion Time: 3 months

Overview

Techniques for analyzing, summarizing and comparing sets of real data with several variables focusing on linear models. Computations are done using statistical software. Model building and verification, graphical methods of exploration. Analysis of variance including multiple comparisons, with coverage of interaction and simple design cases.  Least squares and robust regression, diagnostics, selection of transformations, and variable selection techniques. PREREQUISITE: OA3102.

Prerequisites

  • OA3102
Offerings database access
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Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin