Course Schedule and Catalog
Course Schedule - Spring Semester 2018
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: 20841)
R FOR DATA SCIENCE
Long Title: R FOR DATA SCIENCE
Department: Statistics
Instructor: Bertolusso, Roberto
Meeting: 2:30PM - 3:45PM TR (8-JAN-2018 - 20-APR-2018)
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:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisites: STAT 305 OR STAT 312 OR (STAT 310 OR ECON 307 OR ECON 382) OR STAT 385
Section Max Enrollment: 51
Section Enrolled: 35
Total Cross-list Max Enrollment: 51
Total Cross-list Enrolled: 46
Waitlisted: 0 (Max 198)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 20-JAN-2025 3:21AM
Final Exam: No Final Exam
Final Exam Time:
30-APR-2018
2:00PM - 5:00PM M
Description: Students will learn how to work through data science problems within the statistical programming language R. The course covers the complete analytical process, from getting your data into R, to applying appropriate exploratory and statistical analysis, and communicating the results. Important topics in data science (e.g. databases, web scraping, and big data) and efficient programming are integrated throughout the course. Cross-list: STAT 605. Mutually Exclusive: Cannot register for STAT 405 if student has credit for STAT 605.