Regression Modeling for Marketers

Regression Modeling for Marketers

本课程是 Data Science for Marketing 专项课程的一部分

位教师：A.W. Lukens

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Apply regression analysis to understand & predict marketing outcomes. Interpret market data & refine statistical models for real-world application.

您将获得的技能

您将学习的工具

Statistical Software

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

35 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Science for Marketing 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

"Regression Modeling for Marketers" is a specialized course designed to elevate marketing professionals' analytical skills. Focusing on regression analysis, the course enables learners to quantify, explain, and predict marketing outcomes using both simple and multiple linear regression models. This course stands out by not only teaching the creation and interpretation of market data visualizations but also showing the use of advanced statistical software for gaining marketing insights. Learners will explore sophisticated analytical techniques like ANOVA, ANCOVA, and MANCOVA, enhancing their ability to dissect the impact of marketing strategies. The course also covers logistic regression and multivariate testing, key tools for anticipating market shifts and consumer choices. Additionally, it emphasizes the application of uplift modeling for targeted and personalized marketing campaigns, making it an essential resource for contemporary marketers.

Grasp the essentials of Simple Linear Regression to predict and influence market outcomes. This module guides you through creating insightful scatter plots and using statistical software, turning data into reliable, predictive tools for marketing success.

涵盖的内容

5个视频3篇阅读材料6个作业

5个视频总计19分钟

The Main Ideas of Simple Linear Regression (SLR) 4分钟
Describing Lines and Normal Distributions 3分钟
Residuals, SSE, and Ordinary Least Squares Regression 5分钟
Confidence Bands for Regression Lines: Homoscedasticity 3分钟
Predicting With SLR: Obtaining Regression Coefficients 4分钟

3篇阅读材料总计41分钟

A Note About Readings & R-Scripts 1分钟
Simple Linear Regression 30分钟
R-Scripts - Simple Linear Regression (SLR), Normal Distribution, and Prediction Intervals 10分钟

6个作业总计102分钟

The Main Ideas of Simple Linear Regression (SLR) Quiz 15分钟
Describing Lines and Normal Distributions Quiz 15分钟
Residuals, SSE, and Ordinary Least Squares Regression Quiz 15分钟
Confidence Bands for Regression Lines: Homoscedasticity Quiz 12分钟
Predicting With SLR: Obtaining Regression Coefficients Quiz 15分钟
Module 1 Graded Quiz 30分钟

Learn to decode SLR outputs, enhancing your ability to make precise marketing predictions. Understand the significance of regression coefficients and R-squared values in shaping marketing strategies that are both data-driven and impactful.

涵盖的内容

6个视频4篇阅读材料7个作业

6个视频总计25分钟

Testing for Normality of Residuals 5分钟
Standard Errors for Regression Coefficients 6分钟
R-Squared 4分钟
Summary of Regression Outputs 2分钟
Difference of Means, Part 1: Two-Sample T-Test 3分钟
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing 5分钟

4篇阅读材料总计80分钟

Q-Q Plots 30分钟
R-Scripts - SLR & Q-Q Plots 10分钟
Adjusted R-Squared 10分钟
AB Testing 30分钟

7个作业总计123分钟

Testing for Normality of Residuals Quiz 15分钟
Standard Errors for Regression Coefficients Quiz 18分钟
R-Squared Quiz 15分钟
Summary of Regression Outputs Quiz 15分钟
Difference of Means, Part 1: Two-Sample T-Test Quiz 15分钟
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing Quiz 15分钟
Module 2 Graded Quiz 30分钟

Elevate your predictive modeling with advanced techniques. This module takes you beyond SLR, showing you how to incorporate multiple factors into your analyses for more nuanced and effective marketing insights.

涵盖的内容

10个视频6篇阅读材料11个作业

10个视频总计36分钟

Checking SLR Assumptions 3分钟
Assessing SLR Assumptions Visually: Anscombe's Quartet 3分钟
Non-Parametric Smoothing Regression Using LOESS: Part 1 3分钟
Non-Parametric Smoothing Regression Using LOESS: Part 2 4分钟
Comparing SLR and LOESS 4分钟
Introduction to Multiple Linear Regression (MLR) 3分钟
R-Squared for MLR 4分钟
MLR with Discrete Independent Variables: One-Hot Encoding 5分钟
Interpreting MLR Coefficients for Dummy Variables 5分钟
Wrap-up on One-Hot Encoding in MLR 3分钟

6篇阅读材料总计70分钟

R-Scripts - SLR & Comparing Prediction Intervals 10分钟
Non-Parametric Smoothing Regression 10分钟
R-Scripts - Smoothing Regression LOESS 10分钟
Multiple Linear Regression (MLR) 10分钟
R-Scripts - Multiple Linear Regression (MLR) 10分钟
One-Hot Encoding with 0-1 Dummy Variables 20分钟

11个作业总计171分钟

Checking SLR Assumptions Quiz 15分钟
Assessing SLR Assumptions Visually: Anscombe's Quartet Quiz 15分钟
Non-Parametric Smoothing Regression Using LOESS: Part 1 Quiz 15分钟
Non-Parametric Smoothing Regression Using LOESS: Part 2 Quiz 12分钟
Comparing SLR and LOESS Quiz 12分钟
Introduction to Multiple Linear Regression (MLR) Quiz 15分钟
R-Squared for MLR Quiz 12分钟
MLR with Discrete Independent Variables: One-Hot Encoding Quiz 15分钟
Interpreting MLR Coefficients for Dummy Variables Quiz 15分钟
Wrap-up on One-Hot Encoding in MLR Quiz 15分钟
Module 3 Graded Quiz 30分钟

Discover the power of Multiple Linear Regression in understanding complex market dynamics. Learn to integrate diverse factors into your analysis, using advanced techniques like ANOVA and MANCOVA for deeper market insights and smarter marketing decisions.

涵盖的内容

10个视频11篇阅读材料11个作业

10个视频总计47分钟

Analysis of Variance (ANOVA) 6分钟
Checking Anova Assumptions 3分钟
Analysis of Covariance (ANCOVA) 5分钟
Beyond ANCOVA 4分钟
Logistic Regression & Generalized Linear Models 4分钟
MLE and Multivariate Logistic Regression 9分钟
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR 4分钟
Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling 4分钟
Causal Evaluation with Regression Models 3: Difference-in-Differences (DID) 6分钟
Causal Evaluation Methods 4分钟

11篇阅读材料总计255分钟

Analysis of Variance (ANOVA) 10分钟
R-Scripts - Analysis of Variance (ANOVA) and Beyond 10分钟
Kruskal-Wallis Non-Parametric ANOVA 10分钟
ANCOVA & Multicollinearity Testing and VIF Factors 45分钟
MANOVA & Stepwise Variable Selection 30分钟
Logistic Regression and Generalized Linear Models 30分钟
R-Scripts - Logistic Regression 10分钟
Multinomial Logistic Regression and GAM 40分钟
A/B Testing 10分钟
Multivariate Testing & Uplift Modeling 30分钟
Difference-in-Differences (DID) 30分钟

11个作业总计180分钟

Analysis of Variance (ANOVA) Quiz 15分钟
Checking Anova Assumptions Quiz 15分钟
Analysis of Covariance (ANCOVA) Quiz 15分钟
Beyond ANCOVA Quiz 15分钟
Logistic Regression & Generalized Linear Models Quiz 12分钟
MLE and Multivariate Logistic Regression Quiz 18分钟
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR Quiz 15分钟
Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling Quiz 15分钟
Causal Evaluation with Regression Models 3: Difference-in-Differences (DID) Quiz 15分钟
Causal Evaluation Methods Quiz 15分钟
Module 4 Graded Quiz 30分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

A.W. Lukens

University of Colorado System

7 门课程 10,239 名学生

提供方

University of Colorado System

从 Data Analysis 浏览更多内容

University of Colorado System
Machine Learning for Marketers
课程
University of Colorado System
Customer Data Analytics for Marketers
课程
Coursera
Marketing Analytics: Data Predictions and Dashboards
课程
Meta
Data Analytics Methods for Marketing
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.