University of Colorado Boulder - Customer Data Analytics for Marketers
- Offered byCoursera
Customer Data Analytics for Marketers at Coursera Overview
Duration | 23 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Customer Data Analytics for Marketers at Coursera Highlights
- Earn a certificate after completion of the course
- Assignment and projects for practice
- Financial aid available
Customer Data Analytics for Marketers at Coursera Course details
- Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
- This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality
- Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies
- The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions
- It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis
- The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation
- This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights
Customer Data Analytics for Marketers at Coursera Curriculum
Introduction to Data Analytics for Marketing Decisions
Course Overview
Types of Analytics
Descriptive Analytics with Scatter Plots
Augmenting Scatter Plots I
Augmenting Scatter Plots II
Data-Informed Decisions I
Data-Informed Decisions II
A Note About Readings & R-Scripts
A Note About Readings and R-Scripts
Customer Lifetime Value (LTV or CLV)
R-Scripts - Getting Started in R: Scatter Plots
LOESS
R-Scripts - Create and display k-means and PAM clusters
R-Scripts - Acquisition-Retention example
Course Overview Quiz
Types of Analytics Quiz
Descriptive Analytics with Scatter Plots Quiz
Augmenting Scatter Plots I Quiz
Data Informed Decisions I Quiz
Data Informed Decisions II Quiz
Module 1 Graded Quiz
Data Analytics & Critical Thinking
Improving Target Marketing
Comparing Treatments & Simpson's Paradox
Critical Thinking Questions I
Critical Thinking Questions II
Mean & Variance I
Mean & Variance II
Standard Deviations Least-Squares Regression
Simpson's Paradox and Critical Thinking About Data-driven Decisions
Background: Variance, normal distributions, probability models
R-Scripts - Mean and Standard Deviation of Price
R-Script - Mean squared error (MSE)
R-Scripts - Standard Deviations and ecdf
R-Script - Calculating Means and Variances
Improving Target Marketing Quiz
Comparing Treatments & Simpsons Paradox/Critical Thinking Questions I Quiz
Critical Thinking Questions II Quiz
Mean & Variance I Quiz
Mean & Variance II Quiz
Standard Deviations Least-Squares Regression Quiz
Module 2 Graded Quiz
Hypothesis Testing, Correlation, and Regression
Linear Correlation
Calculating Linear Correlation
R-Squared
Ordinal Correlations
Using Correlations to Test for Independence
The Logic of Null Hypothesis Testing
Trustworthy Hypothesis Testing
Recommended Tests for Independence
Correlation
R-Script - Calculate Pearson's Correlation
R-squared and Adjusted R-squared
Ordinal Correlations
Null Hypothesis Significance Testing (NHST) and p-values
R-Scripts - Hypothesis Testing: Kendall's Tau
Questionable research practices (QRPs)
R-Scripts - Recommended Tests for Independence
R-Scripts - Additional Visualizations & Calculations Related To Hypothesis Testing
Linear Correlation Quiz
Calculating Linear Correlation Quiz
R-Squared Quiz
Ordinal Correlation Quiz
Using Correlation to Test for Independence Quiz
The Logic of Null Hypothesis Testing Quiz
Trustworthy Hypothesis Testing Quiz
Recommended Tests for Independence Quiz
Module 3 Graded Quiz
Correlation and Causality
Visualizing Correlations: Heat Maps
Scatter Plots and Correlation Matrices
Correlation Networks
Structural Equation Models (SEMs)
Path Coefficients
Path Diagrams
Making Causal Predictions with Path Diagrams
Explanation, Prediction, & Model Validation
Limitations of Path Analysis
Corrgrams
R-Scripts - Correlation and Causality
Path Analysis
Visualizing Correlations: Heat Maps Quiz
Scatter Plots and Correlation Matrices Quiz
Correlation Networks Quiz
Structural Equation Models (SEMs) Quiz
Path Coefficeients Quiz
Path Diagrams Quiz
Making Casual Predictions with Path Diagrams Quiz
Explanation, Prediction, & Model Validation Quiz
Limitations of Path Analysis Quiz
Module 4 Graded Quiz
Customer Data Analytics for Marketers at Coursera Admission Process
Important Dates
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