Course Detail

Business Statistics (41000)

Course Description by Faculty

  • Kaji, Tetsuya
  • Content
    Data science has altered decision making in many business scenes, from tech companies to financial institutions. This course provides fundamental statistical knowledge and practice, essential to data science for modern business enterprise. This course is a prerequisite for many electives at Chicago Booth.

    The main topics covered are: (1) knowing the data: descriptive statistics and visualization; (2) building on acceptable assumptions: statistical modeling and inference; (3) knowing more than the data: linear regression; (4) concluding from the data: hypothesis testing, confidence intervals, and p-values.
    Format
    • Lectures

  • Prerequisites
    No undergrads. Non-Booth graduate students with instructor permission only.
  • Materials
    There is no required textbook. Lecture notes are available on the course website.
    Resources
    • Canvas Site Available

  • Grades
    Grades are based on a midterm exam and a final exam, both take-home. No auditors.
    Assessment & Testing
    • Midterm

    • Final exam (take home)

    Restrictions
    • No auditors

  • Syllabus
  • Autumn 2021Section: 41000-03M 1:30PM-4:30PMHarper CenterC04In-Person Only
  • Autumn 2021Section: 41000-81M 6:00PM-9:00PMGleacher Center304Dual Modality
    Faculty In-Person
Description and/or course criteria last updated: September 23 2021