There are four coding components in Data Science Interviews: Data Structure & Algorithm, Machine Learning Algorithms, Math & Statistics, and Data (String) manipulation.

I live-code real interview questions asked by major tech companies in this repository and host the Python code here. On each topic, there is a detailed technical blog post available on my Data Science blog: https://leihua-ye.medium.com.

To maximize the utility of this repo, I'd suggest combining both materials and practice at your own pace.

https://towardsdatascience.com/5-python-coding-questions-asked-at-faang-59e6cf5ba2a0

https://towardsdatascience.com/6-python-questions-you-should-practice-before-coding-interviews-f958af55ad13

https://towardsdatascience.com/binary-search-in-python-the-programming-algorithm-8b8fa039eaa

https://towardsdatascience.com/essential-python-coding-questions-for-data-science-interviews-4d33d15008e6

https://towardsdatascience.com/3-simple-questions-to-hone-python-skills-for-beginners-in-2021-f12da38f83cf

https://towardsdatascience.com/python-numpy-and-matrices-questions-for-data-scientists-167af1c9d3a4

https://towardsdatascience.com/master-python-dictionary-for-beginners-in-2021-1cdbaa17ec45

https://towardsdatascience.com/master-data-type-dictionary-in-python-from-zero-to-hero-part-2-6513aad883de?sk=23264e4e8bb82db4229918f28a34a0c8

https://towardsdatascience.com/python-string-manipulation-for-data-scientists-in-2021-c5b9526347f4

https://towardsdatascience.com/how-to-solve-python-coding-questions-using-math-72d5540b5a24

https://towardsdatascience.com/how-to-solve-python-coding-questions-using-stack-94571f31af3f

https://towardsdatascience.com/why-data-scientists-should-learn-dynamic-programming-e50dfe62a5c7?sk=2f50d13ab53a4984153e4ccda8870bb1

We need to install two packages: numpy and matplotlib.pyplot.

Leihua Ye is a Ph.D. Researcher at the UC, Santa Barbara. He has received extensive training in Causal Inference, Research Design, Machine Learning, Big Data, and Machine Learning.

He receives his B.A. and M.A. from the Uni. of Nottingham.

Email: [email protected]

LinkedIn: www.linkedin.com/in/leihuaye

Tech Blog: https://leihua-ye.medium.com