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【数据科学学习资源】2017 Data Science Online Courses List

蟹老板Workshop 2017-08-03
(以下文章为节选)

The following is an extensive list of Data Science courses and resources that give you the skills needed to become a data scientist.

Choose a full specialization or course series, like those from Coursera, edX, and Udacity, or learn individual topics, like machine learning, deep learning, artificial intelligence, data mining, data analytics, data cleaning, data visualization, web scraping, and much more with standalone courses, like those from Udemy (for a dedicated post on Udemy courses, check out Top Udemy Data Science Courses).

To accelerate your learning even more, be sure to supplement these courses by reading one of the many books on our giant list of the best, free data science books. There should be something in there for every subject!

We would like you to know that some of the links to courses here are affiliate links. By going through us to gain access to a course, LearnDataSci may receive a commission. Thank you in advance to anyone that purchases a course from here, we great...
(以下文章为节选)

The following is an extensive list of Data Science courses and resources that give you the skills needed to become a data scientist.

Choose a full specialization or course series, like those from Coursera, edX, and Udacity, or learn individual topics, like machine learning, deep learning, artificial intelligence, data mining, data analytics, data cleaning, data visualization, web scraping, and much more with standalone courses, like those from Udemy (for a dedicated post on Udemy courses, check out Top Udemy Data Science Courses).

To accelerate your learning even more, be sure to supplement these courses by reading one of the many books on our giant list of the best, free data science books. There should be something in there for every subject!

We would like you to know that some of the links to courses here are affiliate links. By going through us to gain access to a course, LearnDataSci may receive a commission. Thank you in advance to anyone that purchases a course from here, we greatly appreciate the support.


Coursera

Specializations:
Being able to pay for each course as you go or all at once makes Coursera's specializations very attractive. Whether you're unsure about data science and just want to audit a course for free, or you're looking to purchase the specialization certificate for your CV and LinkedIn, Coursera's paths are great for getting totally new learners off the ground.

The one big benefit of buying the certificate is that it gives you access to their graded materials and student forums, which are extremely helpful with the more complex subject matter. If you have a question about a lecture, or if you're stuck on homework and need a hint, a lot of the time it's been covered in the forums. Also, you'll be less likely to abandon your progress if there's money on the line!

Each specialization contains a handful of courses, and usually a project (or capstone) at the end to sum up the course. As of this writing, you aren't able to enroll in a capstone project without taking the specialization, but every other course is available individually through their catalog. I have provided a link to each individual course below as well, so if something sounds interesting, just hop in!

Data Science Specialization

https://www.coursera.org/specializations/jhu-data-science?siteID=OyHlmBp2G0c-wz035tWEitjPvLxx5Zbqnw&utm_content=2&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c

The Coursera Data Science Specialization will give you a fundamental understanding of data science with the R programming language.

It's recommended that you have some programming experience (doesn't have to be R) and that you have a good understanding of Algebra. Previous knowledge of Linear Algebra and/or Calculus isn't necessary.

Institution: Johns Hopkins University
Instructors: Brian Caffo, Jeff Leek, Roger D. Peng
Price: Free, or $49/month for specialization certificate

Courses Included in Specialization:

1、The Data Scientist's Toolbox
https://www.coursera.org/learn/data-scientists-tools?siteID=OyHlmBp2G0c-RdfxXJhbWbeEax5uzGXTPg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
2、R Programming
https://www.coursera.org/learn/r-programming?siteID=OyHlmBp2G0c-2mFdGmJ9gZYxxWkCvYGNOA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c/
3、Getting and Cleaning Data
https://www.coursera.org/learn/data-cleaning?siteID=OyHlmBp2G0c-TUWf8QoncAFAT2oTF0k_2w&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
4、Exploratory Data Analysis
https://www.coursera.org/learn/exploratory-data-analysis?siteID=OyHlmBp2G0c-.Wp51YmriTFs.vZfmxmqwQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
5、Reproducible Research
https://www.coursera.org/learn/reproducible-research?siteID=OyHlmBp2G0c-7.BArpVa2wi4eLvfovxupg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
6、Statistical Inference
https://www.coursera.org/learn/statistical-inference?siteID=OyHlmBp2G0c-u1kYHoBF4HjoLzyPmaoQ9A&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
7、Regression Models
https://www.coursera.org/learn/regression-models?siteID=OyHlmBp2G0c-WovSWuHaF7KZBKcsXilvGA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
8、Practical Machine Learning
https://www.coursera.org/learn/practical-machine-learning?siteID=OyHlmBp2G0c-rUSeKHP.2gGOqEMGcotSpQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
9、Developing Data Products
https://www.coursera.org/learn/data-products?siteID=OyHlmBp2G0c-XXAuKaAzv4GWM5HHsgs0Fg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c
10、Data Science Capstone
https://www.coursera.org/learn/data-science-project?siteID=OyHlmBp2G0c-lLmaNfGoYuGAr7PGouBFGA&utm_content=2&utm_medium=partners&utm_source=linkshare&utm_campaign=OyHlmBp2G0c


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