BUS 320 Business Data Analysis and Interpretation

Subject to revision

  • Instructor: Elizabeth Stanny, PhD
  • Email: stanny@sonoma.edu
  • Online Zoom office hours: M-F beginning at 4 PM. I will stay on until all questions are answered.

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

  • Pre-Business requirements
  • Proficiency in spreadsheet software

Course materials

  • R/RStudio
  • Slides and readings are here
  • Course site: stanny.moodle.school. If you are enrolled in the course, I will send you login information.
    • If you have any questions about the site, please ask me.

Learning objectives

  • Determine question want to answer with data analysis
  • Extract, transform and load relevant data (ETL process)
  • Apply appropriate data analytic methods
  • Interpret and present the results

Schedule is here

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 800 points (on Moodle)

Website 200 points

Policies

  • You must adhere to SSU’s Cheating and Plagiarism policy. Academic dishonesty (e.g., cheating, plagiarism, etc.) will not be tolerated and will result in a zero grade (i.e., no points) on the quiz or exam and, possibly, a failing grade in the course.
  • Please be advised that the on-line software allows me to track every click you make on the course site. I know whether, when and where you attempt quizzes, access notes, etc.
  • There are no opportunities for points not listed above. Please do not ask.
  • Disability Services for Students (DSS)
    • Academic Accommodation: If you are a student with a disability, and think you may need academic accommodations, please contact Disability Services for Students (DSS), located in Salazar Hall, Room 1049, Voice: (707) 664-2677, TTY/TDD: (707) 664-2958, as early as possible in order to avoid a delay in receiving accommodation services. Use of DSS services, including testing accommodations, requires prior authorization by DSS in compliance with university policies and procedures.
  • Students may not record (audio or video) in this class except in accordance with ADA accommodations. Any recordings made in connection with a disability accommodation are for the student’s personal academic use only and may not be distributed in any manner to any other individual.