Welcome to MKTG4000

This tentative course schedule is created using R & R Markdown.

Some trivia facts about R:

  1. R is free.

  2. R is one of the top two most common programming languages in business analytics (Harvard Business School).

  3. There are about 100,000 job advertisements for R-related roles in the US (e.g., Indeed.com).

  4. Many business/marketing analytics jobs may require basic R or Python programming skills ESEGBA (2022).

“Why did the marketer get off the trampoline? He was worried about his bounce rate.”

Week

Topics

Due

Week 1

Introduction

Discussion 1

Week 2

Research Design/Bivariate Analysis

Discussion 2

Week 3

Secondary Research

Discussion 3

Week 4

t-test & Anova/project session

Discussion 4/Project Proposal

Week 5

Forecasting/Basic regression analysis

Discussion 5/Course Certificate 1

Week 6

Sampling/Experimental Design

Discussion 6

Week 7

Survey Development

Discussion 7/Group Assignment 1

Week 8

Project Session

Course Certificate 2

Week 9

Project presentation/Survey Design & Distribution

Discussion 8

Week 10

Secondary Data Analysis-Dashboard Design

Discussion 9/Exam 1

Week 11

Survey Distribution & Data Processing

Discussion 10/Group Assignment 2

Week 12

Project session/K-means Cluster analysis/PCA

Discussion 11/Course Certificate 3

Week 13

project session

Group Assignment 3

Week 14

Dashboard Design

Project session & course portfolio

Week 15

Project presentations

Project presentations & Course reflections

Miscellaneous Issues:

  1. There is no need to buy any textbook for the course. The instructor will provide learning resources and Open Licensed Materials for you free of charge.

  2. You will be expected to perform some basic marketing analytics labs and discussions using R. However, no prior knowledge of R or R Studio is required.

  3. You can find some of my previous course evals here: https://github.com/utjimmyx/resources. Reading the anonymous comments leaving by previous students will help you evaluate your expected efforts and learning goals from a former student’s perspective.

Ref:

Harvard Business School. 9 Skills Every Business Analytics Professional Needs.https://analytics.hbs.edu/admissions/top-business-analytics-skills/.

ESEGBA (2022). What Jobs Use R? A Comprehensive Guide. https://careerkarma.com/blog/jobs-that-use-r/