加州大學(xué)伯克利分校信息與數(shù)據(jù)科學(xué)

The Master of Information and Data Science (MIDS) is designed to educate data science leaders. This professional degree program prepares students to derive insights from real-world data sets, using the latest tools and analytical methods, and to interpret and communicate their findings in ways that change minds and change behaviors. The program features a multi-disciplinary curriculum that draws on insights from the social sciences, computer science, statistics, management, and law.

1、Research Design and Application for Data and Analysis

2、Exploring and Analyzing Data

3、Storing and Retrieving Data

4、Applied Machine Learning

5、Data Visualization and Communication

6、Experiments and Causal Inference

7、Legal, Policy, and Ethical Considerations for Data Scientists

8、Scaling Up! Really Big Data

9、Applied Regression and Time Series Analysis

10、Machine Learning at Scale

11、Synthetic Capstone Course

1、數(shù)據(jù)和分析研究設(shè)計(jì)與應(yīng)用

2、探索與分析數(shù)據(jù)

3、存儲(chǔ)與檢索數(shù)據(jù)

4、應(yīng)用機(jī)器學(xué)習(xí)

5、數(shù)據(jù)可視化與通信

6、實(shí)驗(yàn)與因果推理

7、法律、 政策與數(shù)據(jù)科學(xué)家的倫理思考

8、加大!真正的大數(shù)據(jù)

9、應(yīng)用的回歸與時(shí)間序列分析

10、機(jī)器學(xué)習(xí)

11、綜合基礎(chǔ)課程