The Data Science of Marketing

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Free Online Course: The Data Science of Marketing provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. The Data Science of Marketing is taught by Chris DallaVilla.

Overview
  • Discover how to leverage R, Python, and Tableau to gain robust insights from large data sets.

Syllabus
  • Introduction

    • Welcome
    • Data science for marketing
    • Obtain data
    1. Software Installation
    • Install R
    • Install Python
    • Install Tableau
    • Orientation to UI for R, Python, and Tableau
    • Exercise files
    2. Data, Exploratory Analysis, and Performance Analysis
    • Overview and case study
    • Exploratory analysis with R
    • Exploratory analysis with Python
    • Exploratory analysis with Tableau
    • Pros and cons
    3. Inference and Regression Analysis
    • Overview and case study
    • Regression with R
    • Regression with Python
    • Regression with Tableau
    4. Prediction
    • Overview and case study
    • Prediction with R
    • Prediction with Python
    • Prediction with Tableau
    5. Cluster Analysis
    • Overview and case study
    • Cluster Analysis with R
    • Cluster Analysis with Python
    • Cluster Analysis with Tableau
    6. Conjoint Analysis
    • Overview and case study
    • Conjoint analysis with R
    • Conjoint analysis with Python
    • Conjoint analysis with Tableau
    7. Best Practices
    • Agile marketing
    • Design and conduct market experiments
    • Stakeholder alignment
    Conclusion
    • Next steps