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
Related articles
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- How to identify the right data scientist for your company
- 17 short tutorials all data scientists should read (and practice)
- Why Companies can't find analytic talent
- Salary history and career path of a data scientist
- 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
- Marrying computer science, statistics and domain expertize
- Data Scientist Core Skills
- R Tutorial for Beginners: A Quick Start-Up Kit
- The death of the statistician
- Data Science / Big Data Salary Survey by Burtch Works
- Demand for Data Scientists and the Datification of Business
- Data Science Apprenticeship
- Map of data science university programs
- Job titles for data scientists
- How to better compete with other data scientists
- Horizontal vs. Vertical Data Scientists
- Data Scientists vs. Data Engineers
- Extreme Data Science
- Test your analytical intuition
- Are data scientists overpaid?
- Data Science projects billed $300/hour on Kaggle
- The Face of the New University
- Fake data science
- Free courses from top universities
- Time Period for Analytical Positions Recruitment
- Data scientists making $300,000 a year
- Berkeley course on Data Science
- How much does a data scientist make at Facebook?
- Can data scientists replace business analysts?
- Debunking lack of analytic talent
- How maths should be taught in high school
- How do I become a data scientist?
- The amateur data scientist and her projects
- Data Scientist Demographics
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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