CIS 9 - Introduction to Data Science
Course Description
This class introduces basic concepts of data science with hands-on projects in :
- Data gathering
- Data wrangling
- Data assessment and visualization
- Supervised and unsupervised machine learning
- Natural language processing
Prerequisites
- CIS 41A or an equivalent intermediate Python course
Attendance
This is a traditionally a hybrid course so there is an on-campus component and an on-line component. The on-campus component is currently being replaced with Zoom class meetings.
- 4 hours of lecture and lab per week on campus
- Lecture notes, forum discussions, assignments and exams are on line
Evaluation
Letter grades are assigned based on:
- 5 reading exercises
- 5 lab assignments
- 2 midterm exams
- 1 comprehensive final exam or final project