COMPUTING IN DATA SCIENCE AND STATISTICS

Name: COMPUTING IN DATA SCIENCE AND STATISTICS
Availability: OutOfStock
Rating: 4.3 (102 reviews)

STAT 606

课程描述

A survey of some of the tools and frameworks that are currently popular among data scientists and statisticians working in both academia and industry. Begins with an accelerated introduction to the Python programming language and brief introductions to object-oriented and functional programming. Covers some of the scientific computing platforms available in Python, including tools for numerical and scientific computing; training basic machine learning models; and data visualization. Discusses collecting data from the web both by scraping and using APIs. Concludes with a brief survey of distributed computing platforms, focusing on the MapReduce framework.

先修课程

Declared in Statistics MS or Statistics VISP (undergraduate)

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点

3.35

-2.15% 相比历史数据

完成率

94.12%

-3.03% 相比历史数据

A率

35.29%

-12.2% 相比历史数据

班级规模

-50% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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