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DATA SCIENCE WITH R

STAT 433
课程描述

Perform Data Science as an iterative (back and forth) process of four different types of activities (data collection, data wrangling, data analysis, communication). Traverse through the five requisite stances (scientist, coder, mathematician, methodologist, skeptic). Develop and hone a broad set of computational tools in R (but not the broadest) and a broad set of statistical/machine learning tools (but not the broadest). Focus on doing these with agility to make the coding "transparent" and serve the large goals of the project.

先修课程

(STAT 333 or STAT 340 ) and (MATH 320 , MATH 340 , MATH 341 , MATH 345 , or MATH 375 ), graduate/professional standing, or declared in Statistics VISP

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
4

7.25% 相比历史数据

完成率
100%

4.27% 相比历史数据

A率
100%

18.45% 相比历史数据

班级规模
63

3.28% 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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