Must read before attending any data science interview
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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Comment
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Comment by Vincent Granville on June 23, 2014 at 8:12am
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Hi Andrew - yes, but this smaller selection is about techniques that hiring managers are the most familiar with, or most likely to understand.
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Comment by Andrew Troemner on June 23, 2014 at 7:40am
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Aren't the "2-3 days before" resources just the core of your book, "Developing Analytic Talent"? It had plenty of great resources for job searches and defining the craft of Data Science, so it makes sense that those would end up in your book!
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