CONSUMER ANALYTICS

Name: CONSUMER ANALYTICS
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Rating: 4.2 (868 reviews)

CNSRSCI 301

과목 설명

Leverage data analysis to drive consumer business decisions via the telling of a compelling, evidence-based story. Structured to 1) provide you with a core process by which data analysis can produce effective business actions, 2) build your analytical abilities to execute the process and 3) establish a method by which analytical results can be transformed into effective stories. The process and methods studied will have application across a broad range of careers.

선수과목

CNSRSCI 201

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.36

-0.53% 과거 데이터 대비

수료율

98.39%

0.47% 과거 데이터 대비

A 비율

37.1%

4.55% 과거 데이터 대비

학급 규모

14.29% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO QUANTITATIVE METHODS IN SOCIAL SCIENCE

CNSRSCI 768

Introduction to empirical consumer science research methods, with an emphasis on application. Covers different types of data structures commonly encountered, statistical properties of data, bivariate and multivariate linear regression models.

CONSUMER INSIGHTS

CNSRSCI 201

Provides basic training in quantitative data analysis, with an emphasis on descriptive and inferential statistics with consumer research applications.

ADVANCED CONSUMER BEHAVIOR

CNSRSCI 888

Provide a broad-based knowledge of the consumer behavior literature. Develop skills to be an active researcher in fields that require an understanding of consumer research.

CONSUMER ENGAGEMENT STRATEGIES

CNSRSCI 561

Exploring applications of consumer behavior and insights in developing strategies for consumer engagement.

CONSUMER POLICY ANALYSIS

CNSRSCI 579

Analysis of consumer policies enacted and proposed at federal, state, and municipal levels; application of economic analysis to consumer laws, public policies and regulations; study of the process of creating and enforcing legislation and impacts on consumers' well-being.