Data Analysis and Statistical Inference

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 统计和数据分析

大学或机构: Duke University(杜克大学)

授课老师: Mine Çetinkaya-Rundel

课程主页: https://www.coursera.org/course/statistics

课程评论: 1 个评论

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课程简介

This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

课程大纲

  • Week 1: Unit 1 - Introduction to data
  • Week 2: Unit 2 - Probability and distributions
  • Weeks 3 & 4: Unit 3 - Foundations for inference + Midterm
  • Week 5: Unit 4 - Statistical inference for numerical variables
  • Week 6: Unit 5 - Statistical inference for categorical variables
  • Week 7: Unit 6 - Simple linear regression
  • Week 8: Unit 7 - Multiple linear regression
  • Week 9: Capstone project
  • Week 10: Final exam

课程评论(1条)

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Nano环境微生物 2014-11-20 11:47 0 票支持; 0 票反对

刚上完第二门在MOOC上的课。总的说,不错很赞。本科如果在国内好好上过数理统计的话,上这门课会感觉互补性很强。老师比较注意概念和实际的例子,把贝叶斯和simulation的概念讲得非常清楚。R语言也是第一次学,比较简单,容易上手。当然不足的地方,就是数学推导全部跳过了;不过随便找一本国内工科数理统计的教材对照学,效果就更好了。

课程详情

This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

课程标签

杜克大学 duke 数据分析 统计 统计学 统计推断 线性回归 R 数据挖掘

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