Harvard的全稱是Harvard University的Statistics,即哈佛大學統(tǒng)計學,下面將詳細介紹Harvard的的項目特點/院系介紹、Harvard的的研究生申請要求。
哈佛大學
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)計科學與人文科學定量方法簡介
3、定量分析方法簡介
4、商務和金融統(tǒng)計簡介
5、概率論簡介
6、數(shù)據(jù)科學
7、時間序列與預測
8、統(tǒng)計計算軟件
9、通過線性模型的統(tǒng)計分析
10、多層次縱向模型
11、樣品設計和分析調查
12、貝葉斯數(shù)據(jù)分析
13、匹配的取樣和研究設計
14、統(tǒng)計學研究