4 ms·

Can anyone suggest a structured approach[books, tutorials, free online courses] to learn data science?

mc-lovin 13y ago
This is a free version of the book "Mining Massive Datasets". Basically statistical methods that work with big datasets, which is the core of data science. http://infolab.stanford.edu/~ullman/mmds.html http://infolab.stanford.edu/~ullman/mmds.html
- drieddust 13y ago
  Thanks I was expecting may be a series of books, lectures, video which can take me from novice to intermediate level in data science. I am willing to spend 10 hours a week on this.
  - yahelc 13y ago
    This seems to fit the bill: https://www.coursera.org/course/datasci https://www.coursera.org/course/datasci
    - muraiki 13y ago
      I did the first two weeks of this course and found it quite accessible, although the second week question of implementing matrix algebra in SQL didn't seem to have much preparatory material in the lectures. Unfortunately I've had to drop out due to a concussion, but I think that most HN'ers would be able to take this course.
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flanger 13y ago
There is a comprehensive list of online resources that we put together on our blog: http://blog.zipfianacademy.com/post/46864003608/a-practical-intro-to-data-science http://blog.zipfianacademy.com/post/46864003608/a-practical-...
gtani 13y ago
Here's some free book lists http://www.kaggle.com/wiki/Tutorials http://www.kaggle.com/wiki/Tutorials http://metaoptimize.com/qa/questions/186/good-freely-available-textbooks-on-machine-learning http://metaoptimize.com/qa/questions/186/good-freely-availab... I think the best single resource is Kevin Murphy ML text, but there's lots of relevant stuff on linear algebra, Bayesian analysis etc ______________ Here's a "curriculum" http://blog.zipfianacademy.com/post/46864003608/a-practical-intro-to-data-science http://blog.zipfianacademy.com/post/46864003608/a-practical-... And look at the coursera courses by Koller, Andrew Ng, NLP by Collins etc

This is a free version of the book "Mining Massive Datasets". Basically statistical methods that work with big datasets, which is the core of data science. http://infolab.stanford.edu/~ullman/mmds.html http://infolab.stanford.edu/~ullman/mmds.html

drieddust 13y ago
Thanks I was expecting may be a series of books, lectures, video which can take me from novice to intermediate level in data science. I am willing to spend 10 hours a week on this.
- yahelc 13y ago
  This seems to fit the bill: https://www.coursera.org/course/datasci https://www.coursera.org/course/datasci
  - muraiki 13y ago
    I did the first two weeks of this course and found it quite accessible, although the second week question of implementing matrix algebra in SQL didn't seem to have much preparatory material in the lectures. Unfortunately I've had to drop out due to a concussion, but I think that most HN'ers would be able to take this course.
- deleted 13y ago
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flanger 13y ago

There is a comprehensive list of online resources that we put together on our blog: http://blog.zipfianacademy.com/post/46864003608/a-practical-intro-to-data-science http://blog.zipfianacademy.com/post/46864003608/a-practical-...

gtani 13y ago

Here's some free book lists http://www.kaggle.com/wiki/Tutorials http://www.kaggle.com/wiki/Tutorials http://metaoptimize.com/qa/questions/186/good-freely-available-textbooks-on-machine-learning http://metaoptimize.com/qa/questions/186/good-freely-availab... I think the best single resource is Kevin Murphy ML text, but there's lots of relevant stuff on linear algebra, Bayesian analysis etc ______________ Here's a "curriculum" http://blog.zipfianacademy.com/post/46864003608/a-practical-intro-to-data-science http://blog.zipfianacademy.com/post/46864003608/a-practical-... And look at the coursera courses by Koller, Andrew Ng, NLP by Collins etc