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DATA SCIENCE PROGRAMMING II

COMPSCI 320
课程描述

Intermediate approach to Data Science programming using Python. Experience with basic tabular analysis in Python is assumed. Learn to implement data structures (e.g., graphs) to efficiently represent datasets. Software-engineering tools such as version control and Python virtual environments will be introduced, with an emphasis on reproducibility of analysis. Tracing and A/B testing will be introduced as techniques for generating meaningful datasets. Introduces basic classification, clustering, optimization, and simulation techniques. Plotting and visual communication will be emphasized throughout the course.

先修课程

COMPSCI 220 (or COMP SCI 301 prior to Spring 2020), COMPSCI 300 , COMPSCI 319 , graduate/professional standing, or declared in the Computer Sciences for Professionals Capstone Certificate

满足要求
学分

4

开课时间

Not Applicable

平均绩点
3.82

9.69% 相比历史数据

完成率
99.56%

2.98% 相比历史数据

A率
80.7%

51.52% 相比历史数据

班级规模
456

29.33% 相比历史数据

2026 Summr Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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