Basic Data Science in Python & R

(3 Credit Hours) · Undergraduate

This course offers students a comprehensive overview of the foundational concepts, tools, and techniques that define the field of data science. Data science can be broadly divided into two distinct (though overlapping) areas of data engineering and data analytics; this course focuses on the analytics. Designed for beginners, this course bridges the gap between theory and practical application, enabling participants to explore how data drives decision-making across various disciplines. It is open to all majors outside of computer science and engineering, and assumes no knowledge of statistics or programming languages. Students will have the opportunity to work in either Python or R.