This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Applying Data Analytics in Marketing
일리노이대학교 어버너-섐페인캠퍼스이 강좌에 대하여
최근 조회 20,308회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 17시간 필요
영어
자막: 영어
귀하가 습득할 기술
Data AnalysisAnalyticsMarketingMarketing Analytics
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계
완료하는 데 약 17시간 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
This 강좌 is part of the 100% online Master of Science in Accountancy (iMSA) from 일리노이대학교 어버너-섐페인캠퍼스.
If you are admitted to the full program, your courses count towards your degree learning.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 7시간 필요
Course Introduction
With the first module, we will measure and identify satisfied customers to adjust product or service accordingly. To measure the customer satisfaction we will measure expectations, performance and disconfirmation of the offered product or service. We will also provide an overview of marketing analytics used to gauge the effectiveness of different marketing activities. Finally, we will go through measurement and scaling techniques.
완료하는 데 7시간 필요
13개 동영상 (총 82분), 5 개의 읽기 자료, 5 개의 테스트
13개의 동영상
Instructor Bio: Joseph Yun ***1m
Interview with Monica Penagos – MOOC intro8m
Module 1 Overview ***25
Interview with Monica Penagos – Intro to Customer Satisfaction1m
Lesson 1-1.1 Introduction to Marketing Analytics and Customer Satisfaction5m
Lesson 1-2.1 Customer Satisfaction12m
Lesson 1-3.1 Measurements and Scaling Techniques – Introduction3m
Lesson 1-3.2 Measurements and Scaling Techniques – Primary Scales of Measurement11m
Lesson 1-3.3 Measurement and Scaling Techniques – Comparative Scaling ***8m
Lesson 1-3.4 Measurements and Scaling Techniques – Non-Comparative Scaling9m
Lesson 1-4.1 Experiment Design: Key Concepts9m
Lesson 1-4.2 Experiment Design: Controlling for Experimental Errors8m
5개의 읽기 자료
Syllabus30m
About the Discussion Forums10m
Glossary10m
Module 1 Overview20m
Module 1 Readings & Files1시간 30분
5개 연습문제
Orientation Quiz30m
Lesson 1-1 Practice Quiz30m
Lesson 1-2 Practice Quiz30m
Lesson 1-3 Practice Quiz30m
Module 1 Graded Quiz30m
완료하는 데 4시간 필요
Module 2
We will explore the marketing world through process of A/B testing, design of experiments, data analysis, and hypothesis testing. Next, we study Analysis of Variance (ANOVA) which is used to determine significant differences between two or more categorical groups. We will study ANOVA’s assumptions, test inference and different types of ANOVA. We also spend some time in designing experiments.
완료하는 데 4시간 필요
9개 동영상 (총 78분), 2 개의 읽기 자료, 4 개의 테스트
9개의 동영상
Interview with Monica Penagos – A/B Testing and ANOVA in Practice2m
Lesson 2-1.1 A/B Testing: Introduction11m
Lecture 2-1.2 A/B Testing: Types of Tests7m
Lesson 2-1.3 A/B Testing: R Example10m
Lesson 2-2.1 ANOVA – Introduction14m
Lesson 2-2.2 One-Way ANOVA – Insect Spray Example8m
Lesson 2-2.3 One-Way ANOVA – Insect Spray Example in R10m
Lesson 2-2.4 Two-Way ANOVA – Tooth Growth Example11m
2개의 읽기 자료
Module 2 Overview20m
Module 2 Readings & Files7m
3개 연습문제
Lesson 2-1 Practice Quiz30m
Lesson 2-2 Practice Quiz30m
Module 2 Graded Quiz30m
완료하는 데 3시간 필요
Module 3
We will learn about the Binary Outcome model using Logit function. Logistic regression is used when the dependent variable has a binary outcome. We will also review linear regression, which is used when the dependent variable has a continuous outcome.
완료하는 데 3시간 필요
6개 동영상 (총 47분), 2 개의 읽기 자료, 2 개의 테스트
6개의 동영상
Interview with Monica Penagos – Choice Models in Practice2m
Lesson 3-1.1 Binary Outcome Model – Logit Model12m
Lesson 3-1.2 Binary Outcome Model – Logit Model Example 111m
Lesson 3-1.3 Binary Outcome Model – Logit Model Example 27m
Lesson 3-1.4 Introduction to Forecasting: Linear Regression13m
2개의 읽기 자료
Module 3 Overview20m
Module 3 Readings & Files30m
2개 연습문제
Lesson 3-1 Practice Quiz30m
Module 3 Graded Quiz30m
완료하는 데 3시간 필요
Module 4
We will learn an introduction to text analytics for marketing and how we can use tools, such as the Social Media Macroscope, to find insights about consumer responses within the realm of marketing.
완료하는 데 3시간 필요
7개 동영상 (총 66분), 2 개의 읽기 자료, 3 개의 테스트
7개의 동영상
Lesson 4-1.1 Introduction to Text Summarization8m
Lesson 4-1.2 Introduction to the Social Media Macroscope (SMM)13m
Lesson 4-1.3 N-gram Frequency Count and Phrase Mining17m
Lesson 4-2.1 LDA Topic Modeling12m
Lesson 4-2.2 Machine-Learned Classification and Semantic Topic Tagging11m
Course Summary: Applying Data Analytics in Marketing1m
2개의 읽기 자료
Module 4 Overview20m
Module 4 Readings & Files30m
3개 연습문제
Lesson 4-1 Practice Quiz30m
Lesson 4-2 Practice Quiz30m
Module 4 Graded Quiz30m
검토
APPLYING DATA ANALYTICS IN MARKETING의 최상위 리뷰
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
KK 제공2020년 8월 25일
Very informative and nice presentation and interactive sessions.
YC 제공2020년 7월 6일
If the peer reviews were done faster it would be better
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