Course Info: NS-0104
| Course | NS-0104 Introduction to Data Science |
| Long Title | Introduction to Data Science |
| Term | 2025S |
| Note(s) |
Textbook information |
| Meeting Info | Cole Science Center 316 on T,TH from 10:30-11:50 |
| Faculty | Kenneth Mulder |
| Capacity | 23 |
| Available | 10 |
| Waitlist | 0 |
| Distribution(s) | |
| Cumulative Skill(s) | |
| Additional Info | Students should expect to spend 6-8 hours weekly on work and preparation outside of class time |
| Description | Due to the growing availability of "big data" and the high
computational speeds and storage capacity of modern computers,
data science has become a highly influential field that impacts
every aspect of our lives. Endeavors as disparate as facial
recognition, climate modeling, and training computers to write
poetry are linked by the fact that in each case researchers are
using computers to find and exploit patterns in data. These
patterns can be used to make predictions, test hypotheses, and to
simulate real-world phenomena to an eerily accurate degree. In
this course, students will learn the fundamental concepts of data
science, simultaneously developing and applying coding skills
using the language Python and learning several principles and
techniques for data analysis. In particular, students will learn
and practice writing computer code to access data, explore data,
and analyze data. Keywords:Data science, coding, data, Python |