Business Data Analysis and Interpretation

Summer 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
May 26 1: Introduction/R/RStudio due at 9 PM
May 27 2: Install R/RStudio and create a blog due at 9 PM
May 28 3: Data manipulation / descriptive analysis I due at 9 PM
Jun 1 4: Reading and writing data due at 9 PM
Jun 3 5: Data manipulation / descriptive analysis II due at 9 PM
Jun 4 6: Data manipulation / joining data due at 9 PM
Jun 7 7: Exploratory analysis / data visualization I due at 9 PM
Jun 9 8: Exploratory analysis / data visualization II due at 9 PM
Jun 11 9: Data visualization / storytelling due at 9 PM
Jun 14 10: Machine learning due at 9 PM
Jun 15 11: Inference / sampling due at 9 PM
Jun 16 12: Inference / bootstrapping due at 9 PM
Jun 17 13: Inference / hypothesis testing due at 9 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

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