Customer Data Analytics for Marketers
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Customer Data Analytics for Marketers
This course is part of Data Science for Marketing Specialization
Instructor: Tony Cox, Jr.
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What you'll learn
Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
Skills you'll gain
- Statistical Modeling
- Data Analysis
- Descriptive Statistics
- Data-Driven Decision-Making
- Statistical Analysis
- Customer Analysis
- Regression Analysis
- Customer Retention
- Customer Insights
- Data-Driven Marketing
- Data Ethics
- Predictive Analytics
- Statistical Visualization
- Descriptive Analytics
- Marketing Analytics
- Statistical Hypothesis Testing
- Correlation Analysis
- Probability & Statistics
- Analytical Skills
- Analytics
Details to know
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- Earn a shareable career certificate
There are 4 modules in this course
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.
Dive into the world of marketing data analytics and discover how it revolutionizes customer understanding and business growth. Learn to differentiate between analytics types and develop reports that transform data into actionable marketing strategies, increasing customer lifetime value and business success.
What's included
7 videos7 readings7 assignments
7 videos•Total 30 minutes
- Course Overview•4 minutes
- Types of Analytics•4 minutes
- Descriptive Analytics with Scatter Plots•6 minutes
- Augmenting Scatter Plots I•5 minutes
- Augmenting Scatter Plots II•3 minutes
- Data-Informed Decisions I•3 minutes
- Data-Informed Decisions II•5 minutes
7 readings•Total 53 minutes
- A Note About Readings & R-Scripts•1 minute
- A Note About Readings and R-Scripts•2 minutes
- Customer Lifetime Value (LTV or CLV)•10 minutes
- R-Scripts - Getting Started in R: Scatter Plots•10 minutes
- LOESS•10 minutes
- R-Scripts - Create and display k-means and PAM clusters•10 minutes
- R-Scripts - Acquisition-Retention example•10 minutes
7 assignments•Total 105 minutes
- Module 1 Graded Quiz•45 minutes
- Course Overview Quiz•10 minutes
- Types of Analytics Quiz•10 minutes
- Descriptive Analytics with Scatter Plots Quiz•10 minutes
- Augmenting Scatter Plots I Quiz•10 minutes
- Data Informed Decisions I Quiz•10 minutes
- Data Informed Decisions II Quiz•10 minutes
Unlock the power of statistical concepts to drive smarter marketing decisions. This module empowers you with the skills to interpret data correctly, avoid common pitfalls, and apply critical thinking to uncover deeper insights from your marketing data.
What's included
7 videos6 readings7 assignments
7 videos•Total 36 minutes
- Improving Target Marketing•6 minutes
- Comparing Treatments & Simpson's Paradox•4 minutes
- Critical Thinking Questions I•4 minutes
- Critical Thinking Questions II•7 minutes
- Mean & Variance I•5 minutes
- Mean & Variance II•4 minutes
- Standard Deviations Least-Squares Regression•6 minutes
6 readings•Total 60 minutes
- Simpson’s Paradox and Critical Thinking About Data-driven Decisions•10 minutes
- Background: Variance, normal distributions, probability models•10 minutes
- R-Scripts - Mean and Standard Deviation of Price•10 minutes
- R-Script - Mean squared error (MSE)•10 minutes
- R-Scripts - Standard Deviations and ecdf•10 minutes
- R-Script - Calculating Means and Variances•10 minutes
7 assignments•Total 240 minutes
- Module 2 Graded Quiz•45 minutes
- Improving Target Marketing Quiz•30 minutes
- Comparing Treatments & Simpsons Paradox/Critical Thinking Questions I Quiz•45 minutes
- Critical Thinking Questions II Quiz•30 minutes
- Mean & Variance I Quiz•30 minutes
- Mean & Variance II Quiz•30 minutes
- Standard Deviations Least-Squares Regression Quiz•30 minutes
Master key statistical techniques to elevate your marketing strategies. Learn hypothesis testing, understand correlations, and delve into regression analysis, all while maintaining ethical standards in analytics for credible, impactful results.
What's included
8 videos9 readings9 assignments
8 videos•Total 43 minutes
- Linear Correlation•6 minutes
- Calculating Linear Correlation•4 minutes
- R-Squared•5 minutes
- Ordinal Correlations•4 minutes
- Using Correlations to Test for Independence•8 minutes
- The Logic of Null Hypothesis Testing•5 minutes
- Trustworthy Hypothesis Testing•4 minutes
- Recommended Tests for Independence•7 minutes
9 readings•Total 160 minutes
- Correlation•10 minutes
- R-Script - Calculate Pearson’s Correlation•10 minutes
- R-squared and Adjusted R-squared•30 minutes
- Ordinal Correlations•20 minutes
- Null Hypothesis Significance Testing (NHST) and p-values•30 minutes
- R-Scripts - Hypothesis Testing: Kendall's Tau•10 minutes
- Questionable research practices (QRPs)•30 minutes
- R-Scripts - Recommended Tests for Independence•10 minutes
- R-Scripts - Additional Visualizations & Calculations Related To Hypothesis Testing•10 minutes
9 assignments•Total 285 minutes
- Module 3 Graded Quiz•60 minutes
- Linear Correlation Quiz•30 minutes
- Calculating Linear Correlation Quiz•15 minutes
- R-Squared Quiz•30 minutes
- Ordinal Correlation Quiz•30 minutes
- Using Correlation to Test for Independence Quiz•30 minutes
- The Logic of Null Hypothesis Testing Quiz•30 minutes
- Trustworthy Hypothesis Testing Quiz•30 minutes
- Recommended Tests for Independence Quiz•30 minutes
Explore the intricate relationship between correlation and causality in marketing. Gain skills in advanced correlation analysis and Structural Equation Modeling (SEM) to make informed, data-driven decisions that effectively navigate the complexities of the marketing world.
What's included
9 videos3 readings10 assignments
9 videos•Total 40 minutes
- Visualizing Correlations: Heat Maps•3 minutes
- Scatter Plots and Correlation Matrices•5 minutes
- Correlation Networks•4 minutes
- Structural Equation Models (SEMs)•5 minutes
- Path Coefficients•5 minutes
- Path Diagrams•5 minutes
- Making Causal Predictions with Path Diagrams•4 minutes
- Explanation, Prediction, & Model Validation•4 minutes
- Limitations of Path Analysis•6 minutes
3 readings•Total 55 minutes
- Corrgrams•10 minutes
- R-Scripts - Correlation and Causality•15 minutes
- Path Analysis•30 minutes
10 assignments•Total 320 minutes
- Module 4 Graded Quiz•50 minutes
- Visualizing Correlations: Heat Maps Quiz•30 minutes
- Scatter Plots and Correlation Matrices Quiz•30 minutes
- Correlation Networks Quiz•30 minutes
- Structural Equation Models (SEMs) Quiz•30 minutes
- Path Coefficeients Quiz•30 minutes
- Path Diagrams Quiz•30 minutes
- Making Casual Predictions with Path Diagrams Quiz•30 minutes
- Explanation, Prediction, & Model Validation Quiz•30 minutes
- Limitations of Path Analysis Quiz•30 minutes
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University of Illinois Urbana-Champaign
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Reviewed on Jul 21, 2024
One of the best courses I have ever taken on Coursera. Looking forward to gaining even more knowledge by completing the other courses in the specialization.
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