Statistics: Making Sense of Data

开始时间: 04/01/2013 持续时间: 47 weeks

所在平台: Coursera

课程类别: 统计和数据分析

大学或机构: University of Toronto(多伦多大学)

授课老师: Alison Gibbs Jeffrey Rosenthal

   

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

课程评论: 1 个评论

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课程详情

We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically literate.  

This course will provide an intuitive introduction to applied statistical reasoning,  introducing fundamental statistical skills and acquainting students with the full process of inquiry and evaluation used in investigations in a wide range of fields.  In particular, the course will cover methods of data collection, constructing effective graphical and numerical displays to understand the data, how to estimate and describe the error in estimates of some important quantities, and the key ideas in how statistical tests can be used to separate significant differences from those that are only a reflection of the natural variability in data.

课程大纲

A first look at data
Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables.

Collecting data
Week 2:  Sampling.  Observational studies and experiments.  The effect of confounding and concluding causation.

Probability
Week 3:  Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions.

Confidence Intervals 
Week 4: Confidence intervals and sample size estimation for proportions and means.

Tests of significance 
Week 5: Tests of significance, power and sample size estimation for proportions and means

Two samples
Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case.

Simple linear regression
Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations.

The process of statistical inquiry
Week 8: Capstone case study.

课程评论(1条)

2

Mavlarn008 2013-06-18 18:44 2 票支持; 0 票反对

前段时间刚学完。就像这门课的标题“making sense”一样,这门课最好的地方就是让你对统计有"感觉"。虽然讲的比较简单,但是对于理解这些概念非常有用。

最后那个大胡子还自弹自唱一首他自创的有关这门课的歌,也很有意思。

课程简介

This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

课程标签

统计学 统计 数学模型 数据分析 数据挖掘 R语言 R R编程

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