Course Schedule and Catalog
Course Schedule - Spring Semester 2023
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 405 001 (CRN: 20344)
R FOR DATA SCIENCE
Long Title: R FOR DATA SCIENCE
Department: Statistics
Instructor: Bertolusso, Roberto
Meeting: 4:00PM - 5:15PM TR (9-JAN-2023 - 21-APR-2023)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
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):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: STAT 305 OR STAT 312 OR STAT 310 OR ECON 307 OR STAT 311 OR STAT 385 OR STAT 315 OR DSCI 301
Section Max Enrollment: 49
Section Enrolled: 36
Total Cross-list Max Enrollment: 49
Total Cross-list Enrolled: 45
Enrollment data as of: 19-JAN-2025 9:30PM
Final Exam: No Final Exam
Final Exam Time:
2-MAY-2023
2:00PM - 5:00PM T
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. Cross-list: STAT 605. Mutually Exclusive: Cannot register for STAT 405 if student has credit for STAT 605.