CSCI 9 - Practical Data Science

4 units
3 hours lecture, 3 hours lab
Prerequisite: CSCI 8 and CSCI 14 or CSCI 1
Credit, degree applicable
Transfer CSU, UC

This course examines computation, inferential thinking, and the issues of utilizing real-world data to solve challenging data science problems. This intermediate-level class bridges between Foundations of Data Science and the methods currently used in industry. Students will understand the data science life-cycle and learn many of the principles and techniques of data science, such as spanning algorithms, statistics, machine learning, visualization, and data systems.