This course introduces students to customer satisfaction measurement through a wide range of analytical approaches. We will discuss the components of customer satisfaction, major issues in measuring customer satisfaction, statistical methods in analyzing customer satisfaction influence, sentiment analysis with social media data, influence analysis with social media data, and text summarization with social media data. This course aims to provide the foundation required to make better marketing decisions by analyzing multiple types of data related to customer satisfaction.
제공자:
비즈니스 분석 특화 과정일리노이대학교 어버너-섐페인캠퍼스이 강좌에 대하여
최근 조회 7,203회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 6개 강좌 중 5번째 강좌:
중급 단계
A basic familiarity with R is recommended.
완료하는 데 약 12시간 필요
영어
자막: 영어
귀하가 습득할 기술
- Data Analysis
- Analytics
- Marketing
- Marketing Analytics
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 6개 강좌 중 5번째 강좌:
중급 단계
A basic familiarity with R is recommended.
완료하는 데 약 12시간 필요
영어
자막: 영어
제공자:
일리노이대학교 어버너-섐페인캠퍼스
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
석사 학위 취득 시작
이 강좌은(는) 일리노이대학교 어버너-섐페인캠퍼스의 100% 온라인 Master of Business Administration (iMBA) 중 일부입니다.
전체 온라인 학위 프로그램이 귀하에게 적합한지 여부를 결정할 수 있도록 주제, 자료 및 강사의 미리보기를 제공합니다.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 5시간 필요
Course Introduction and Module 1: Customer Satisfaction
With the first module, we begin by looking at some definitions of customer satisfaction. Then, we explore some major issues we have to consider. These issues include the psychological constructs of customer satisfaction, proper measurement of those constructs, varying targets of satisfaction, differences in the impact of individuals' expressions, and changing satisfaction over time. We will then introduce you to a new tool that you can use to conduct various data science methods on social media data. We conclude the module with a short primer on R and RStudio.
완료하는 데 5시간 필요
14개 동영상 (총 76분), 6 개의 읽기 자료, 2 개의 테스트
완료하는 데 3시간 필요
Module 2: Customer Satisfaction Analysis
We will begin our second module with a discussion on different types of data for customer satisfaction analysis. We first focus on survey data and look at different ways to analyze them. Next, we will provide a simple primer on linear and logistic regression. We will wrap up this module with a guided demo of utilizing sentiment analysis on tweets using the Social Media Macroscope.
완료하는 데 3시간 필요
6개 동영상 (총 45분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 2시간 필요
Module 3: Customer Satisfaction Influence Analysis
We will introduce a method to analyze customer satisfaction influence using social media data. Social networks are the perfect dataset to utilize network analysis to understand how people are interacting with other people and forming networks. Identifying a pattern in social media relationships can be useful when making marketing decisions. We will also review influencer brand personality analysis that can be used as a method for brands to find influencers similar in personality to themselves.
완료하는 데 2시간 필요
5개 동영상 (총 34분), 2 개의 읽기 자료, 1 개의 테스트
완료하는 데 3시간 필요
Module 4: Text Summarization
We will learn about the various methods of text summarization. We begin by discussing the pre-processing steps required to bring the text to an analyzable form. Next, we look at how the frequency counts of multi-word phrases of pre-processed text can reveal the common terms being discussed. Building on top of the n-grams, we move onto a more intelligent method to automatically detect quality phrases. We will also discuss the LDA Topic Modeling - a very popular way to detect topics in a body of texts. We will wrap up this module with a highlight on supervised machine learning and an example of its application.
완료하는 데 3시간 필요
7개 동영상 (총 56분), 4 개의 읽기 자료, 1 개의 테스트
검토
- 5 stars69.10%
- 4 stars20.32%
- 3 stars4.06%
- 2 stars1.62%
- 1 star4.87%
APPLYING DATA ANALYTICS IN MARKETING의 최상위 리뷰
KK 제공2020년 8월 25일
Very informative and nice presentation and interactive sessions.
YH 제공2020년 11월 26일
This course is really insightful. Explanation done very well, quizzes is related and challenging. Although I suggest you have a statistical background before taking this course
MY 제공2019년 11월 2일
it was a perfect course , which gave me the full picture of how to make a marketing testing and evaluation
YC 제공2020년 7월 6일
If the peer reviews were done faster it would be better
비즈니스 분석 특화 과정 정보
Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.
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