LK不改名字了

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Introduction to Data Science (Udacity) 0 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/ud359

简介: This is one of the first courses we offer for students interested in the emerging field of data science.

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!

Students will learn how to collect, clean, and extract needed data and store it in MongoDB. We will also cover schema design, learn how to process data within MongoDB, and utilize Hadoop along with MongoDB to perform MapReduce operations.

This is a great course for those interested in entry-level data analyst positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.

The Caltech-JPL Summer School on Big Data Analytics (Coursera) 0 个评论 关注

开始时间: 09/02/2014 持续时间: 2 weeks

主页: https://www.coursera.org/course/bigdataschool

简介: This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.

db: Introduction to Databases (Stanford Online) 1 个评论 关注

开始时间: 01/06/2014 持续时间: 未知

主页: https://class.stanford.edu/courses/Engineering/db/2014_1/about

简介: "Introduction to Databases" was one of Stanford's inaugural three massive open online courses in the fall of 2011 and was offered again in early 2013. January 2014 will mark its third offering. The course includes video lectures and demos with in-video quizzes to check understanding, in-depth standalone quizzes, a wide variety of automatically-checked interactive programming exercises, midterm and final exams, a discussion forum, optional additional exercises with solutions, and pointers to readings and resources. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course.

StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注

开始时间: 01/20/2014 持续时间: 未知

主页: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about

简介: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

Python (Codecademy) 5 个评论 关注

开始时间: 随时 持续时间: free

主页: http://www.codecademy.com/zh/tracks/python

简介: Learn the fundamentals of Python and dynamic programming.

Computational Investing, Part I (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/compinvesting1

简介: Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Build algorithms and visualizations to inform investing practice.

Data Analysis and Statistical Inference (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/statistics

简介: This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

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