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How to Prepare for Interview
Most Frequently Asked Questions and Answers

Part-I: SAS/Stats Technical Questions and Answers

1. SAS Interview QA: Top 10 SAS Macro Interview Questions -1   2. SAS Interview Frequently Asked Macro Questions -2

3. SAS Interview QA: Top 10 SAS Macro Interview Questions -3   4. SAS Interview Frequently Asked Macro Questions -4

5. Top 25 SAS Interview Questions   6. More difficult SAS Technical Interview Questions

a. SAS Interview QA: Where vs. IF, Function vs. Proc, Macro, SUM function

b. SAS Interview QA: Key concepts, Tricky Stuff, Compression, STOP statement

c. SAS Interview QA: Procedure vs. macro, _N_ statement, Run groups

d. SAS Interview QA: Informats vs. formats, Put statement, Important trivia
e. SAS Interview QA: Data Step to Join Datasets


After you got a chance for a face-to-face onsite interview, then it's time for you to spend more time on preparing all the interview questions and answers. Besides the above SAS techniques questions and answers, here are a few more books to help you knock the SAS programmers / statistician door. Download two other programming interview books: the most popular Interview preparation book: Career-up Cracking the Technical Interview: Top 150 Questions and Answers from Google, Apple, Microsoft, Intel etc. Programming Pearls by Jon Bently.

SAS Practice Questions & Answer -01   Q&A - 02   Q&A - 03   Q&A - 04   Q&A - 05   Q&A - 06

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SAS Practice Questions & Answer -49   Q&A - 50

Part-II: Behavior Questions and Answers

1. Tell us about yourself? what you should say and what you shouldn't say?

2. What is your greatest weakness? what is short-range objective?

3. What are your greatest strengths? long-range objective? Why are you leaving?

4. Why should I hire you? Aren’t you overqualified for this position?
5. 7 Questions to Ask @ the end of Every Interview
6. Six Must-Ask Interview Questions during the interview

In case if you really want to invest and polish your data scientist/statistician skillsets, you can get the following "7-week free training called Data Incubator"

The Data Incubator is an intensive 7 week fellowship that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants. It identifies fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors. The program is free for fellows. Employers only pay a tuition fee if they successfully hire.

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