New Grad准备申请Data Science实习的一些学习资源整理

坐标加拿大，有一个读Stat PhD的后辈在准备明年秋季申请DS的实习岗位，半个月前答应了给这位后辈写一篇学习资源整理。
本着大家都受益的想法发在地里。

本人水平有限，写的不一定好，有些地方可能也值得商榷。也欢迎大家多提意见。


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1.Math:

Calculus Review:
https://www.khanacademy.org/math/calculus-home?t=classes

Multivariable Calculus:
https://ocw.mit.edu/courses/math ... fall-2010/index.htm
(part1. Vectors and Matrices part 2. Partial Derivatives)

Linear Algebra:
https://ocw.mit.edu/courses/math ... fall-2011/index.htm

2. Probability
. From 1point 3acres bbsProbabilistic Systems Analysis and Applied Probability
https://ocw.mit.edu/courses/elec ... bability-fall-2013/


3.Statistics:

Basic Statistics:
https://www.openintro.org/book/os/

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

https://www.amazon.ca/Practical- ... 31481247&sr=8-1



Experiment:
1.A/B Testing | Udacity
https://www.udacity.com/course/ab-testing--ud257

2.Trustworthy Online Controlled Experiments: A Practical Guide to A/B
Testing(https://www.amazon.ca/Trustworth ... 31481295&sr=8-1)


4. SQL
https://mode.com/sql-tutorial/
https://sqlzoo.net/wiki/SQL_Tutorial
Leetcode SQL: https://leetcode.com/problemset/database/

. From 1point 3acres bbs5. R （一般来说用R的公司不太多，重点放在Python上面）
First watch Datacamp: Introduction to R
https://www.datacamp.com/courses/free-introduction-to-r

Then Read:
(1). R in Action
https://www.amazon.ca/Action-Dat ... 31481789&sr=8-1

(2). R for Data Science
https://r4ds.had.co.nz/



6 Python
First Learn Python on codecademy
https://www.codecademy.com/learn/learn-python

Then Python for Everybody
https://www.coursera.org/specializations/python

And Introduction to Computer Science and Programming Using Python
https://www.edx.org/course/intro ... e-and-programming-7




7. Machine Learning


Coursera Stanford ML:
https://www.coursera.org/learn/machine-learning

Coursera UW ML:
https://www.coursera.org/specializations/machine-learning

Statistical Learning:
-Lecture:
https://online.stanford.edu/cour ... tatistical-learning

-book:
https://www.statlearning.com/


. .иDo not forget to read:

Applied Predictive Modeling
https://www.amazon.ca/Applied-Pr ... 31481848&sr=8-1

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
https://www.amazon.ca/Hands-Mach ... 31481873&sr=8-6




8. Algorithm and Data Structure:
Read: http://interactivepython.org/runestone/static/pythonds/index.html

Watch video course:
Python for Data Structures, Algorithms & Interviews
https://www.udemy.com/course/pyt ... hms-and-interviews/

Also try to solve some easy and medium coding problems on:
LeetCode
https://leetcode.com/problemset/algorithms/

有空也可以看看我之前写的帖子，忙了好久一阵子没更新。
https://www.1point3acres.com/bbs/thread-711860-1-1.html


9. Product Sense:
Watch this YouTube Channel
Data Interview Pro
https://www.youtube.com/channel/UCAWsBMQY4KSuOuGODki-l7A

Read this blog post：
https://zhuanlan.zhihu.com/p/21391500

Read this blog series:
Data-Informed Product Building
https://medium.com/sequoia-capit ... ilding-1e509a5c4112



10. Data Science Common Sense

Read:

Data Science for Business
https://www.amazon.ca/Data-Scien ... 31482120&sr=8-1

Doing Data Science: Straight Talk from the Frontline
https://www.amazon.ca/Doing-Data ... 31482144&sr=8-1

11. Consider your own data science project

18 places to find datasets for data science projects
https://www.dataquest.io/blog/free-datasets-for-projects/

12. Interview Preparation and Career Guide

Read:
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
https://www.amazon.ca/Ace-Data-S ... product_top?ie=UTF8
Build a Career in Data Science
https://www.amazon.ca/Build-Care ... 31482711&sr=1-3


接下来这些学有余力可以看看，或者拿到了这些公司和类似公司的面试准备面试时一定要重点看：

13. Collections of Blogs of some Tech companies.

The unofficial google data science blog
http://www.unofficialgoogledatascience.com/

Airbnb Data Science:
https://medium.com/airbnb-engineering/tagged/data-science

Quora Blog:
https://engineering.quora.com/

Yelp Blog:
https://engineeringblog.yelp.com/index.html

Stitch Fix Blog:
http://multithreaded.stitchfix.com/algorithms/blog/

Netflix Blog:
https://medium.com/@NetflixTechBlog

LinkedIn Blog:
https://engineering.linkedin.com/data


Pinterest Blog:
https://medium.com/@Pinterest_Engineering

Lyft Blog:
https://eng.lyft.com/tagged/data-science

Facebook Blog:
https://research.fb.com/blog/


另外论坛里面有很多相关的高赞DS面试准备帖子都很有用，建议花时间仔细学习。

nb 好人一生平安 感恩

赞一个 zszszs

太牛了。。。