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

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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.

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要了解的详细信息

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作业

35 项作业

授课语言：英语（English）

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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18分钟

The Main Ideas of Simple Linear Regression (SLR)4分钟
Describing Lines and Normal Distributions2分钟
Residuals, SSE, and Ordinary Least Squares Regression4分钟
Confidence Bands for Regression Lines: Homoscedasticity3分钟
Predicting With SLR: Obtaining Regression Coefficients4分钟

3篇阅读材料总计41分钟

A Note About Readings & R-Scripts1分钟
Simple Linear Regression30分钟
R-Scripts - Simple Linear Regression (SLR), Normal Distribution, and Prediction Intervals10分钟

6个作业总计102分钟

The Main Ideas of Simple Linear Regression (SLR) Quiz15分钟
Describing Lines and Normal Distributions Quiz15分钟
Residuals, SSE, and Ordinary Least Squares Regression Quiz15分钟
Confidence Bands for Regression Lines: Homoscedasticity Quiz12分钟
Predicting With SLR: Obtaining Regression Coefficients Quiz15分钟
Module 1 Graded Quiz30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24分钟

Testing for Normality of Residuals4分钟
Standard Errors for Regression Coefficients5分钟
R-Squared3分钟
Summary of Regression Outputs2分钟
Difference of Means, Part 1: Two-Sample T-Test3分钟
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing5分钟

4篇阅读材料总计80分钟

Q-Q Plots30分钟
R-Scripts - SLR & Q-Q Plots10分钟
Adjusted R-Squared10分钟
AB Testing30分钟

7个作业总计123分钟

Testing for Normality of Residuals Quiz15分钟
Standard Errors for Regression Coefficients Quiz18分钟
R-Squared Quiz15分钟
Summary of Regression Outputs Quiz15分钟
Difference of Means, Part 1: Two-Sample T-Test Quiz15分钟
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing Quiz15分钟
Module 2 Graded Quiz30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 Assumptions2分钟
Assessing SLR Assumptions Visually: Anscombe's Quartet2分钟
Non-Parametric Smoothing Regression Using LOESS: Part 12分钟
Non-Parametric Smoothing Regression Using LOESS: Part 23分钟
Comparing SLR and LOESS3分钟
Introduction to Multiple Linear Regression (MLR)2分钟
R-Squared for MLR3分钟
MLR with Discrete Independent Variables: One-Hot Encoding5分钟
Interpreting MLR Coefficients for Dummy Variables5分钟
Wrap-up on One-Hot Encoding in MLR2分钟

6篇阅读材料总计70分钟

R-Scripts - SLR & Comparing Prediction Intervals10分钟
Non-Parametric Smoothing Regression10分钟
R-Scripts - Smoothing Regression LOESS10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 Variables20分钟

11个作业总计171分钟

Checking SLR Assumptions Quiz15分钟
Assessing SLR Assumptions Visually: Anscombe's Quartet Quiz15分钟
Non-Parametric Smoothing Regression Using LOESS: Part 1 Quiz15分钟
Non-Parametric Smoothing Regression Using LOESS: Part 2 Quiz12分钟
Comparing SLR and LOESS Quiz12分钟
Introduction to Multiple Linear Regression (MLR) Quiz15分钟
R-Squared for MLR Quiz12分钟
MLR with Discrete Independent Variables: One-Hot Encoding Quiz15分钟
Interpreting MLR Coefficients for Dummy Variables Quiz15分钟
Wrap-up on One-Hot Encoding in MLR Quiz15分钟
Module 3 Graded Quiz30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46分钟

Analysis of Variance (ANOVA)5分钟
Checking Anova Assumptions2分钟
Analysis of Covariance (ANCOVA)5分钟
Beyond ANCOVA3分钟
Logistic Regression & Generalized Linear Models3分钟
MLE and Multivariate Logistic Regression8分钟
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR3分钟
Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling4分钟
Causal Evaluation with Regression Models 3: Difference-in-Differences (DID)5分钟
Causal Evaluation Methods3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 Beyond10分钟
Kruskal-Wallis Non-Parametric ANOVA10分钟
ANCOVA & Multicollinearity Testing and VIF Factors45分钟
MANOVA & Stepwise Variable Selection30分钟
Logistic Regression and Generalized Linear Models30分钟
R-Scripts - Logistic Regression10分钟
Multinomial Logistic Regression and GAM40分钟
A/B Testing10分钟
Multivariate Testing & Uplift Modeling30分钟
Difference-in-Differences (DID)30分钟

11个作业总计180分钟

Analysis of Variance (ANOVA) Quiz15分钟
Checking Anova Assumptions Quiz15分钟
Analysis of Covariance (ANCOVA) Quiz15分钟
Beyond ANCOVA Quiz15分钟
Logistic Regression & Generalized Linear Models Quiz12分钟
MLE and Multivariate Logistic Regression Quiz18分钟
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR Quiz15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) Quiz15分钟
Causal Evaluation Methods Quiz15分钟
Module 4 Graded Quiz30分钟

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位教师

A.W. Lukens

University of Colorado System

7 门课程8,731 名学生

提供方

University of Colorado System

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