109个Data Scientist必备面试问题
对于数据科学访谈来说，面试官会问广泛的话题，需要受访者强大的技术知识和沟通技巧。
本指南包含面试者在面试数据科学家时应该期望的所有数据科学面试问题。
从这个数据科学面试问题列表中，受访者应该能够准备好棘手的问题，了解哪些答案会与雇主产生积极的共鸣，并培养面试的信心。
我们将数据科学访谈问题分为六个不同的类别：统计，编程，建模，行为，文化和解决问题。
（具体问题实在太多我就不给大家翻译了哈）


 Statistics
 Programming
 General
 Big Data
 Python
 R
 SQL
 Modeling
 Behavioral
 Culture Fit
 ProblemSolving

Statistics
1. There is a linear relationship between the dependent variables and the regressors, meaning the model you are creating actually fits the data,
2. The errors or residuals of the data are normally distributed and independent from each other,
3. There is minimal multicollinearity between explanatory variables, and
4. Homoscedasticity. This means the variance around the regression line is the same for all values of the predictor variable.