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Introduction to Statistics (Udacity) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/st101 简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics. |
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jQuery (Coursera专项课程) 3 个评论 关注 开始时间: 04/22/2022 持续时间: free 主页: http://www.codecademy.com/zh/tracks/jquery 简介: jQuery is a way to create interactive websites. You can move HTML elements around, build custom animations, and let your users affect your site with a mouse click! |
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Python (Coursera专项课程) 5 个评论 关注 开始时间: 04/22/2022 持续时间: free 主页: http://www.codecademy.com/zh/tracks/python 简介: Learn the fundamentals of Python and dynamic programming. |
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Algorithms, Part I (CourseraArchive) 6 个评论 关注 开始时间: 04/22/2022 持续时间: 6 weeks 主页: https://www.coursera.org/course/algs4partI 简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms. |
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Introduction to Computer Science (Udacity) 6 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs101 简介: In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler. |
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Coding the Matrix: Linear Algebra through Computer Science Applications (CourseraArchive) 9 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/matrix 简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data. |
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Introduction to Computational Finance and Financial Econometrics (CourseraArchive) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/compfinance 简介: Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems. |
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Computational Methods for Data Analysis (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/compmethods 简介: Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
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