【陆勤践行】DataSchool 推荐的数据科学资源

Blogs

• Simply Statistics1: Written by the Biostatistics professors at Johns Hopkins University who also run Coursera's Data Science Specialization
• yhat's blog: Beginner-friendly content, usually in Python
• No Free Hunch1 (Kaggle's blog): Mostly interviews with competition winners, or updates on their competitions
• FastML: Various machine learning content, often with code
• Edwin Chen: Infrequently updated, but long and thoughtful pieces
• FiveThirtyEight: Tons of timely data-related content
• Machine Learning Mastery: Frequent posts on machine learning, very accessible
• Data School: Kevin Markham's blog! Beginner-focused, with reference guides and videos
• MLWave: Detailed posts on Kaggle competitions, by a Kaggle Master
• Data Science 101: Short, frequent content about all aspects of data science
• ML in the Valley: Thoughtful pieces by the Director of Analytics at Codecademy

Aggregators

• DataTau: Like Hacker News, but for data
• MachineLearning on reddit: Very active subreddit
• Quora's Machine Learning section: Lots of interesting Q&A
• Quora's Data Science topic FAQ
• KDnuggets: Data mining news, jobs, classes and more

DC Data Groups

• Data Community DC: Coordinates six local data-related meetup groups
• District Data Labs: Offers courses and other projects to local data scientists

Online Classes

• Coursera's Data Science Specialization: Nine courses (running every month) and a Capstone project, taught in R
• Stanford's Statistical Learning: By the authors of An Introduction to Statistical Learning and Elements of Statistical Learning, taught in R, highly recommended, running January through April 2015 (preview thelecture videos)
• Coursera's Machine Learning (Andrew Ng): Andrew Ng's acclaimed course, taught in MATLAB/Octave (preview the lecture videos)
• Coursera's Machine Learning (Pedro Domingos): No upcoming sessions (preview the lecture videos)
• Caltech's Learning from Data: Widely praised, not language-specific
• Udacity's Data Analyst Nanodegree: Project-based curriculum using Python, R, MapReduce, MongoDB
• Coursera's Data Mining Specialization: Brand new specialization beginning February 2015
• Coursera's Natural Language Processing: No upcoming sessions, but lectures and slides are available
• SlideRule's Data Analysis Learning Path: Curated content from various online classes
• Udacity's Intro to Artificial Intelligence: Taught by Peter Norvig and Sebastian Thrun
• Coursera's Neural Networks for Machine Learning: Taught by Geoffrey Hinton, no upcoming sessions
• statistics.com: Many online courses in data science
• CourseTalk: Read reviews of online courses

Online Content from Offline Classes

• Harvard's CS109 Data Science: Similar topics as General Assembly's course
• Columbia's Data Mining Class: Excellent slides
• Harvard's CS171 Visualization: Includes programming in D3

Face-to-Face Educational Programs

• Comparison of data science bootcamps: Up-to-date list maintained by a Zipfian Academy graduate
• The Complete List of Data Science Bootcamps & Fellowships
• Zipfian Academy: Offers Data Science Immersive, Data Engineering Immersive, Master's in Big Data (San Francisco, but possibly expanding)
• Data Science Retreat: Primarily uses R (Berlin)
• Metis Data Science Bootcamp: Newer bootcamp (New York)
• Persontyle: Various course offerings (based in London)
• Software Carpentry: Two-day workshops, primarily for researchers and hosted by universities (worldwide)
• Colleges and Universities with Data Science Degrees

Conferences

• Knowledge Discovery and Data Mining (KDD): Hosted by ACM
• O'Reilly Strata + Hadoop World: Big focus on "big data" (San Jose, London, New York)
• PyData: For developers and users of Python data tools (worldwide)
• PyCon: For developers and users of Python (Montreal in April 2015)

Books

• An Introduction to Statistical Learning with Applications in R (free PDF)
• Elements of Statistical Learning (free PDF)
• Think Stats (free PDF or HTML)
• Mining of Massive Datasets (free PDF)
• Python for Informatics (free PDF or HTML)
• Statistics: Methods and Applications (free HTML)
• Python for Data Analysis
• Data Smart: Using Data Science to Transform Information into Insight
• Sams Teach Yourself SQL in 10 Minutes

Other Resources

• Open Source Data Science Masters: Huge list of resources
• Data Science Trello Board: Another list of resources
• The Hitchhiker's Guide to Python: Online guide to understanding Python and getting good at it
• Python Reference: Python tips, tutorials, and more
• videolectures.net: Tons of academic videos
• Metacademy: Quick summary of many machine learning terms, with links to resources for learning more
• Terms in data science defined in one paragraph

文章来源：http://suanfazu.com/t/dataschool-tui-jian-de-shu-ju-ke-xue-zi-yuan/705