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Regression Modeling for Marketers

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Regression Modeling for Marketers

Dieser Kurs ist Teil von Spezialisierung „Data Science for Marketing“

Dozenten: A.W. Lukens

Bei enthalten

Mehr erfahren

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Customer Insights
Kategorie: Strategic Marketing
Kategorie: Data-Driven Marketing
Kategorie: Marketing Analytics
Kategorie: Logistic Regression
Kategorie: Market Analysis
Kategorie: Statistical Methods
Kategorie: Variance Analysis
Kategorie: Model Evaluation
Kategorie: Regression Analysis
Kategorie: Statistical Analysis
Kategorie: Statistical Hypothesis Testing
Kategorie: Predictive Modeling
Kategorie: Target Market
Kategorie: Marketing
Kategorie: Predictive Analytics
Kategorie: Data Visualization
Kategorie: Statistical Modeling

Werkzeuge, die Sie lernen werden

Kategorie: Statistical Software

Wichtige Details

Zertifikat zur Vorlage

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Bewertungen

35 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Data Science for Marketing“

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In diesem Kurs gibt es 4 Module

"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.

Moduldetails

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.

Das ist alles enthalten

5 Videos3 Lektüren6 Aufgaben

5 VideosInsgesamt 19 Minuten

The Main Ideas of Simple Linear Regression (SLR)4 Minuten
Describing Lines and Normal Distributions3 Minuten
Residuals, SSE, and Ordinary Least Squares Regression5 Minuten
Confidence Bands for Regression Lines: Homoscedasticity3 Minuten
Predicting With SLR: Obtaining Regression Coefficients4 Minuten

3 LektürenInsgesamt 41 Minuten

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

6 AufgabenInsgesamt 102 Minuten

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

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.

Das ist alles enthalten

6 Videos4 Lektüren7 Aufgaben

6 VideosInsgesamt 25 Minuten

Testing for Normality of Residuals5 Minuten
Standard Errors for Regression Coefficients6 Minuten
R-Squared4 Minuten
Summary of Regression Outputs2 Minuten
Difference of Means, Part 1: Two-Sample T-Test3 Minuten
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing5 Minuten

4 LektürenInsgesamt 80 Minuten

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

7 AufgabenInsgesamt 123 Minuten

Module 2 Graded Quiz30 Minuten
Testing for Normality of Residuals Quiz15 Minuten
Standard Errors for Regression Coefficients Quiz18 Minuten
R-Squared Quiz15 Minuten
Summary of Regression Outputs Quiz15 Minuten
Difference of Means, Part 1: Two-Sample T-Test Quiz15 Minuten
Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing Quiz15 Minuten

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.

Das ist alles enthalten

10 Videos6 Lektüren11 Aufgaben

10 VideosInsgesamt 36 Minuten

Checking SLR Assumptions3 Minuten
Assessing SLR Assumptions Visually: Anscombe's Quartet3 Minuten
Non-Parametric Smoothing Regression Using LOESS: Part 13 Minuten
Non-Parametric Smoothing Regression Using LOESS: Part 24 Minuten
Comparing SLR and LOESS4 Minuten
Introduction to Multiple Linear Regression (MLR)3 Minuten
R-Squared for MLR4 Minuten
MLR with Discrete Independent Variables: One-Hot Encoding5 Minuten
Interpreting MLR Coefficients for Dummy Variables5 Minuten
Wrap-up on One-Hot Encoding in MLR3 Minuten

6 LektürenInsgesamt 70 Minuten

R-Scripts - SLR & Comparing Prediction Intervals10 Minuten
Non-Parametric Smoothing Regression10 Minuten
R-Scripts - Smoothing Regression LOESS10 Minuten
Multiple Linear Regression (MLR)10 Minuten
R-Scripts - Multiple Linear Regression (MLR)10 Minuten
One-Hot Encoding with 0-1 Dummy Variables20 Minuten

11 AufgabenInsgesamt 171 Minuten

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

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.

Das ist alles enthalten

10 Videos11 Lektüren11 Aufgaben

10 VideosInsgesamt 47 Minuten

Analysis of Variance (ANOVA)6 Minuten
Checking Anova Assumptions3 Minuten
Analysis of Covariance (ANCOVA)5 Minuten
Beyond ANCOVA4 Minuten
Logistic Regression & Generalized Linear Models4 Minuten
MLE and Multivariate Logistic Regression9 Minuten
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR4 Minuten
Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling4 Minuten
Causal Evaluation with Regression Models 3: Difference-in-Differences (DID)6 Minuten
Causal Evaluation Methods4 Minuten

11 LektürenInsgesamt 255 Minuten

Analysis of Variance (ANOVA)10 Minuten
R-Scripts - Analysis of Variance (ANOVA) and Beyond10 Minuten
Kruskal-Wallis Non-Parametric ANOVA10 Minuten
ANCOVA & Multicollinearity Testing and VIF Factors45 Minuten
MANOVA & Stepwise Variable Selection30 Minuten
Logistic Regression and Generalized Linear Models30 Minuten
R-Scripts - Logistic Regression10 Minuten
Multinomial Logistic Regression and GAM40 Minuten
A/B Testing10 Minuten
Multivariate Testing & Uplift Modeling30 Minuten
Difference-in-Differences (DID)30 Minuten

11 AufgabenInsgesamt 180 Minuten

Module 4 Graded Quiz30 Minuten
Analysis of Variance (ANOVA) Quiz15 Minuten
Checking Anova Assumptions Quiz15 Minuten
Analysis of Covariance (ANCOVA) Quiz15 Minuten
Beyond ANCOVA Quiz15 Minuten
Logistic Regression & Generalized Linear Models Quiz12 Minuten
MLE and Multivariate Logistic Regression Quiz18 Minuten
Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR Quiz15 Minuten
Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling Quiz 15 Minuten
Causal Evaluation with Regression Models 3: Difference-in-Differences (DID) Quiz15 Minuten
Causal Evaluation Methods Quiz15 Minuten