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• Undergraduate Spring 2020
• Computer Science
• INTERMEDIATE DATA SCIENCE

INTERMEDIATE DATA SCIENCE

2020 Spring Term

Computer Science 310

This course introduces intermediate data science and its implementation using R and Python, with applications in natural and social science, public health and welfare, and other areas. Students will explore methods of data analysis, cleaning, simulation and visualization and machine learning. Prior knowledge of programming and statistical analysis is assumed.

Other Requirements: PREREQ: COMPSCI 170 AND (COMPSCI 180 OR COMPSCI 220 OR COMPSCI 222) AND 1 COURSE IN STATISTICS (BIOLOGY 303 OR ECON 245 OR MATH 230 OR MATH 342 OR PSYCH 215 OR SOCIOLGY 295 OR SOCWORK 250), OR PERMISSION OF INSTRUCTOR

Class Schedule

There are no sections offered for this course and term that meet your criteria.