# Udacity公开课介绍-统计学导论:基于数据的决策(Introduction to Statistics: Making Decisions based on Data (ST101))

+5 投票

“统计学导论”明天开课，学生总数号称要达到历史记录160,000+。与16万地球人一起学习，过个几年你也可以说曾经跟“奥巴马第二”是同学啦。就为这个，你也得参加啊。

# Syllabus

• ## Unit 1: Visualizing relationships in data

Seeing relationships in data and predicting based on them; dealing with noise

• ## Unit 2: Processes that generates data

Random processes; counting, computing with sample spaces; conditional probability; Bayes Rule

• ## Unit 3: Processes with a large number of events

Normal distributions; the central limit theorem; adding random variables

• ## Unit 4: Real data and distributions

Sampling distributions; confidence intervals; hypothesis tests; outliers

• ## Unit 5: Systematically understanding relationships

Least squares;residuals; inference

• ## Unit 6: Understanding more complex relationships

Transformation; smoothing; regression for two or more variables, categorical variables

• ## Unit 7: Where to go next

Statistics vs machine learning; what to study next; where statistics is used
Final exam

This course does not require any previous knowledge of statistics. Basic familiarity with algebra such as knowing how to compute the mean, median and mode of a set of numbers will be helpful

This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.

### Sebastian Thrun Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars. 