Prerequisite- Data Science Programming (ADS 500B)

Course Description

This course is an introduction to fundamental concepts of programming and problem-solving techniques for data science. Python and R are the languages used to analyze and deliver insights from real-world datasets. Topics include basics of Python, R, SQL, data acquisition, integration and transformation, problem understanding, data preparation, standardization, and exploratory data analysis. In addition, command-line tools and editors are explored in UNIX, and methods to access and analyze RDBMS databases are examined. Prior experience is not required for this course.


3 units