加州大學(xué)伯克利分校統(tǒng)計學(xué)

It's a great time to be doing graduate studies in statistics and probability! The astonishing amount of data being collected today is literally transforming science and the skills of statisticians and probabilists are more than ever in demand.
The advent of "Big data" is very exciting for statisticians, making statistical thinking a centerpiece of scientific inquiry in many areas of science and raising new questions for researchers interested in applied, methodological and theoretical questions. Probability is also thriving: probabilistic modeling has taken over many fields of applications and probability is very healthy as a subject in mathematics.

1、Calculus I

2、Calculus II

3、Multivariable Calculus

4、Linear Algebra and Differential

5、Equations

6、Concepts in Computing with Data

7、Concepts of Probability

8、Concepts of Statistics

9、Linear Modelling: Theory and Applications

10、Time Series

11、Modern Statistical Prediction and Machine Learning

12、Theoretical Statistics

1、微積分1

2、微積分2

3、多變量微積分

4、線性代數(shù)與微分

5、方程

6、數(shù)據(jù)計算中的概念

7、概率概念

8、統(tǒng)計概念

9、線性模型：理論與應(yīng)用

10、時間序列

11、現(xiàn)代統(tǒng)計預(yù)測與機器學(xué)習(xí)

12、理論統(tǒng)計