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DATA EXPLORATION, CLEANING, AND INTEGRATION FOR DATA SCIENCE

COMPSCI 774
课程描述

Big Data is often said to deal with four Vs: volume, velocity, variety, and veracity. The focus is on variety and veracity challenges, which often arise in data science projects. In many such projects, data is often incorrect, hard to understand, and come from a variety of sources. Data scientists often spend 80% of their effort to explore, clean, and integrate this data, before analysis can be carried out to extract insights. As a result, managing variety and veracity has received significant attention. Study these topics, understand their challenges, and discuss solutions. These solutions often require data management, machine learning, big data scaling, cloud, crowdsourcing, and user interaction techniques. Knowledge of machine learning/AI [COMP SCI 540], databases [COMP SCI 564] and Python [COMP SCI 320] recommended.

先修课程

Graduate/professional standing

满足要求
学分

未报告

开课时间

未报告

平均绩点
3.97

与历史数据相比无变化

完成率
100%

与历史数据相比无变化

A率
94.12%

与历史数据相比无变化

班级规模
51

与历史数据相比无变化

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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