Business Data Analysis and Interpretation

Spring 2021 - BUS 320 Syllabus

Subject to revision

Contact information

Course description

This is an applied course that builds upon knowledge acquired from lower-division statistics coursework. It exposes students to the research and data analysis practices executed in the business world. A focus of this course is on generating reproducible analyses using the R programming language.

Prerequisites

Learning objectives

Course materials

Schedule

Date Topic
Feb 2 1: Introduction/R/Rstudio due at 5 PM
Feb 9 1.5: Install R/RStudio and create a blog due at 5 PM
Feb 16 2: Excel to R due at 5 PM
Feb 23 3: Data manipulation / descriptive analysis I due at 5 PM
Mar 2 4: Reading and writing data due at 5 PM
Mar 9 5: Data manipulation / descriptive analysis II due at 5 PM
Mar 16 6: Data manipulation / joining data due at 5 PM
Mar 30 7: Exploratory analysis / data visualization I due at 5 PM
Apr 6 8: Exploratory analysis / data visualization II due at 5 PM
Apr 27 9: Data visualization / storytelling due at 5 PM
May 4 10: Introduction to machine learning due at 5 PM
May 11 11: Project, part 1 due at 5 PM
May 18 12: Project, part 2 due at 5 PM

Grading

There are 1000 possible points in the course. Your grade will be determined by your total points:

Grade Points
A 950
A- 900
B+ 870
B 830
B- 800
C+ 770
C 730
C- 700
D+ 670
D 600

Quizzes and Assignments (770 points)

Project (230 points)

Policies