*Originally posted here.*

Here are fundamental resources that you should check out before your next data science interview. Read these documents thoroughly to get prepared, impress your interviewer, boost your chances to be hired, and get bigger paycheck if hired:

**Resources to read 2-3 days before your job interview:**

- Fast Combinatorial Feature Selection with New Definition of Predict...
- Big Data Poster
- Data Science Cheat Sheet
- 16 resources to learn and understand Hadoop
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- Why and how you should build a data dictionary for big data sets
- What MapReduce can't do
- The curse of big data
- Fast clustering algorithms for massive datasets
- Life Cycle of Data Science Projects
- Interesting Tutorials from PyCon 2014 – USA
- 66 job interview questions for data scientists
- How to detect spurious correlations, and how to find the real ones
- Large set of Machine Learning and Related Resources
- Six categories of Data Scientists

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- 2014 Analytics Salary Guide
- The data science toolkit
- 6000 Companies Hiring Data Scientists
- Data Science programs and training currently available
- Data Science: Connected Fields, Pioneers
- Clustering data scientists
- Salary surveys for data scientists and related job titles
- Difference between data engineers and data scientists
- Data Scientist vs. Statistician
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- Data Science / Big Data Salary Survey by Burtch Works
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- Are data scientists overpaid?
- Data Science projects billed $300/hour on Kaggle
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- Can data scientists replace business analysts?
- Debunking lack of analytic talent
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