数据科学的课程资源（转）

关于数据科学的问答：

• What is Data Science?
• How do I become a Data Scientist?
• How does Data Science differ from traditional statistical analysis?

关于数据科学的课程：

• Concepts in Computing with Data, Berkeley
• Practical Machine Learning, Berkeley
• Artificial Intelligence, Berkeley
• Visualization, Berkeley
• Data Mining and Analytics in Intelligent Business Services, Berkeley
• Data Science and Analytics: Thought Leaders, Berkeley
• Machine Learning, Stanford
• Paradigms for Computing with Data, Stanford
• Mining Massive Data Sets, Stanford
• Data Visualization, Stanford
• Algorithms for Massive Data Set Analysis, Stanford
• Research Topics in Interactive Data Analysis, Stanford
• Data Mining, Stanford
• Machine Learning, CMU
• Statistical Computing, CMU
• Machine Learning with Large Datasets, CMU
• Machine Learning, MIT
• Data Mining, MIT
• Statistical Learning Theory and Applications, MIT
• Data Literacy, MIT
• Introduction to Data Mining, UIUC
• Learning from Data, Caltech
• Introduction to Statistics, Harvard
• Data-Intensive Information Processing Applications, University of Maryland
• Dealing with Massive Data, Columbia
• Data-Driven Modeling, Columbia
• Introduction to Data Mining and Analysis, Georgia Tech
• Computational Data Analysis: Foundations of Machine Learning and Da..., Georgia Tech
• Applied Statistical Computing, Iowa State
• Data Visualization, Rice
• Data Warehousing and Data Mining, NYU
• Data Mining in Engineering, Toronto
• Machine Learning and Data Mining, UC Irvine
• Knowledge Discovery from Data, Cal Poly
• Large Scale Learning, University of Chicago
• Data Science: Large-scale Advanced Data Analysis, University of Florida
• Strategies for Statistical Data Analysis, Universität Leipzig

本文转自Data Science Central的一篇博文