哈佛大學(xué)統(tǒng)計(jì)學(xué)

Statistical modeling and analysis, including the collection and interpretation of data, form an essential part of the scientific method in diverse fields, including social, biological, and physical sciences. Statistical theory is primarily based on the mathematical theory of probability, and covers a wide range of topics, from highly abstract areas to topics directly relevant for applications. Research in statistics covers many issues, some closely tied to theoretical principles of statistical inference, and others more concerned with developing and extending techniques for descriptive and exploratory analysis of data.

1、Supervised Reading & Research

2、Intro to Quantitative Methods for the Soc Sciences & Humanities

3、Introduction to Quantitative Methods

4、Introduction to Business and Financial Statistics

5、Introduction to Probability

6、Data Science

7、Times Series and Prediction

8、Statistical Computing Software

9、Statistical Sleuthing Through Linear Models

10、Multilevel and Longitudinal Models

11、Design & Analysis of Sample Survey

12、Bayesian Data Analysis

13、Matched Sampling and Study Design

14、Research in Statistics

1、監(jiān)督閱讀與研究

2、統(tǒng)計(jì)科學(xué)與人文科學(xué)定量方法簡介

3、定量分析方法簡介

4、商務(wù)和金融統(tǒng)計(jì)簡介

5、概率論簡介

6、數(shù)據(jù)科學(xué)

7、時(shí)間序列與預(yù)測

8、統(tǒng)計(jì)計(jì)算軟件

9、通過線性模型的統(tǒng)計(jì)分析

10、多層次縱向模型

11、樣品設(shè)計(jì)和分析調(diào)查

12、貝葉斯數(shù)據(jù)分析

13、匹配的取樣和研究設(shè)計(jì)

14、統(tǒng)計(jì)學(xué)研究