DANL 201 - Introduction to Programming in R

Credit(s): 3
Lecture: 3
Non-Lecture: 0

This course introduces the essential general programming concepts and techniques to a data analytics audience without prior programming experience. The goal is to equip the students with the necessary programming skills to be successful in the other courses in the Data Analytics program. Topics covered include data types such as numbers, characters, and Boolean (or logical values) as well as control and programming structures such as loops, conditionals (e.g., if-else), and functions. Topics also include R specifics (such as list, data frame, factor, apply, RMarkdown), and Python specifics (such as numpy, pandas, Jupyter Notebook). Examples are drawn from the problems and programming patterns often encountered in data analysis. It will use the programming language R in the first part of the course and Python in the second part.

Prerequisite(s): (ECON 205 or GEOG 278 or MATH 242 or MATH 262 or PLSC 251 or PSYC 250 or SOCL 211) and DANL 101
Offered: Spring Semester