Coursera公开课 统计学上(Statistics One) 即将于今天开课，这个课程目前已有7万5千名学生注册，授课老师是普林斯顿大学的Andrew Conway教授，看课程介绍这门课程将介绍最基础的统计学知识：
“如果你认为你不敢学统计学，这门课就是面向你的；如果你曾经学过统计学，需要复习，这门课也是面向你的（If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you.）”
About the Course
Statistics One is designed to be a friendly introduction to very simple, very basic, fundamental concepts in statistics. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! It is also an open source programming language. What this means is you can download R, take this course, and start programming in R after just a few lectures. Statistics may seem like a foreign language, and in many ways it is. The ultimate goal of Statistics One is to get people all over the world to speak this language. So consider this your first course in a new and exciting universal language!
Week One: Random sampling and assignment. Distributions.
Week Two: Descriptive statistics. Measurement.
Week Three: Correlation. Causality.
Week Four: Multiple regression. Ordinary least squares.
Week Five: Confidence intervals. Statistical power.
Week Six: t-tests, chi-square tests. Analysis of Variance.