Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
STAT 605 001 (CRN: 25949)
R FOR DATA SCIENCE
Long Title: R FOR DATA SCIENCE
Department: Statistics
Instructor: Bertolusso, Roberto
Meeting: 4:00PM - 5:15PM TR (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 15
Section Enrolled: 0
Total Cross-list Max Enrollment: 55
Total Cross-list Enrolled: 0
Waitlisted: 0 (Max 198)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 14-NOV-2024 4:53PM
Final Exam: GR Course-Dept Schedules Exam
Description: This course introduces students to the statistical programming language, R, and how to use it in statistical and data science problems. The course traces the data science pipeline from importing data into R, exploring and visualizing data, applying a variety of statistical methods, and communicating results. Important computational tools for data science (e.g. databases, web scraping, and big data) and good programming practice are integrated throughout the course. No programming experience is required. STAT 605 includes more advanced assignments and/or examinations than STAT 405. Cross-list: STAT 405. Mutually Exclusive: Cannot register for STAT 605 if student has credit for STAT 405.