The Data Science of Marketing
Offered By: LinkedIn Learning
Course Description
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
- Install R
- Install Python
- Install Tableau
- Orientation to UI for R, Python, and Tableau
- Exercise files
- Overview and case study
- Exploratory analysis with R
- Exploratory analysis with Python
- Exploratory analysis with Tableau
- Pros and cons
- Overview and case study
- Regression with R
- Regression with Python
- Regression with Tableau
- Overview and case study
- Prediction with R
- Prediction with Python
- Prediction with Tableau
- Overview and case study
- Cluster Analysis with R
- Cluster Analysis with Python
- Cluster Analysis with Tableau
- Overview and case study
- Conjoint analysis with R
- Conjoint analysis with Python
- Conjoint analysis with Tableau
- Agile marketing
- Design and conduct market experiments
- Stakeholder alignment
- Next steps
Taught by
Chris DallaVilla
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera