Marketing Analytics Capstone Project

  • 3.8
Approx. 11 hours to complete

Course Summary

This course teaches students how to use data analytics to drive marketing decisions. It covers topics such as customer segmentation, predictive modeling, and data visualization.

Key Learning Points

  • Learn how to analyze data to make informed marketing decisions
  • Use customer segmentation and predictive modeling to improve marketing strategies
  • Gain experience using popular analytics tools such as R and Tableau

Job Positions & Salaries of people who have taken this course might have

  • Marketing Analyst
    • USA: $60,000 - $90,000
    • India: ₹500,000 - ₹1,000,000
    • Spain: €25,000 - €40,000
  • Digital Marketing Manager
    • USA: $70,000 - $120,000
    • India: ₹600,000 - ₹2,000,000
    • Spain: €30,000 - €50,000
  • Marketing Data Scientist
    • USA: $100,000 - $140,000
    • India: ₹1,500,000 - ₹3,000,000
    • Spain: €40,000 - €70,000

Related Topics for further study


Learning Outcomes

  • Use data analytics to make informed marketing decisions
  • Create effective marketing strategies using customer segmentation and predictive modeling
  • Use popular analytics tools such as R and Tableau

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of statistics
  • Familiarity with Excel

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Marketing Analytics
  • Digital Analytics for Marketing Professionals: Marketing Analytics in Practice

Related Education Paths


Related Books

Description

This capstone project will give you an opportunity to apply what we have covered in the Foundations of Marketing Analytics specialization. By the end of this capstone project, you will have conducted exploratory data analysis, examined pairwise relationships among different variables, and developed and tested a predictive model to solve a marketing analytics problem. It is highly recommended that you complete all courses within the Foundations of Marketing Analytics specialization before starting the capstone course.

Outline

  • Marketing Analytics Project Description
  • Capstone Overview
  • Pre-Readings
  • Exploratory Analysis
  • Meaningful Marketing Insights - Course Objectives & Example 1: Political Advertising
  • Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers
  • Meaningful Marketing Insights - Organizing Data
  • Meaningful Marketing Insights - The Motion Picture Industry
  • Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data
  • Meaningful Marketing Insights - Displaying Conditional Distributions
  • Meaningful Marketing Insights - Analyzing Qualitative Variables
  • Meaningful Marketing Insights - Steps in Constructing Histograms
  • Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data
  • Activity & Explanation of Review Content
  • Meaningful Marketing Insights - Parts 2 - 3
  • Data Preparation and Model Building
  • Data Preparation Instructions
  • Populating the Template
  • Review Forecasting Models for Marketing Decisions, Parts 1 - 3
  • Logistic Regression Practice
  • Model Validation and Comparison
  • Model Validation
  • Model Validation
  • Incorporating Multiple Predictor Variables
  • Incorporating Additional Predictors
  • An Alternative Means of Evaluating Performance
  • Predictors
  • Logistic Regression
  • Congratulations!
  • Congratulations

Summary of User Reviews

Discover how to use marketing analytics to drive business growth with this highly-rated course on Coursera. Students rave about the practicality of the lessons and how they can be applied to real-world scenarios.

Key Aspect Users Liked About This Course

The practicality of the lessons was highly praised by many users.

Pros from User Reviews

  • Great insights and practical knowledge
  • Excellent course for beginners and advanced learners
  • Well-structured and easy to follow
  • Real-world examples and case studies
  • Engaging and knowledgeable instructors

Cons from User Reviews

  • Some students found the course too basic
  • Lack of interaction with instructors and other students
  • Not enough emphasis on certain marketing analytics tools
  • Some technical issues with the platform
  • No certificate of completion offered for free option
English
Available now
Approx. 11 hours to complete
David Schweidel
Emory University
Coursera

Instructor

David Schweidel

  • 3.8 Raiting
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