What is included in a data analyst interview?

Here are some of the questions you will encounter when applying for a data analyst:

1. You The largest amount of data processed? How did you process them? The results of the processing.

2. Tell me about two analytics or computer science related projects? How did you measure their results?

3. What are: lift value, key performance indicators, strength property, model fit, experimental design, 2/8 principle?

4. What are: collaborative filtering, n-grams, mapre duce, cosine distance?

5. How to make a Can web crawlers be faster, extract better information, and summarize data better to get a clean database?

6. How to design a solution to plagiarism?

7. How Verify that a personal payment account is used by multiple people?

8. Click stream data should be processed in real time? Why? Which part should be processed in real time?

9. Which one do you think is better: Is Shensui good data or a good model? At the same time, how do you define "good"? Is there a model that is universal in all situations? Are you aware that the definition of some models is not so good?

10. What is probabilistic merging (AKA fuzzy fusion)? Is it more convenient to use SQL to process semi-structured data? Which language would you choose to use?

11. Are you How to deal with missing data? What processing techniques do you recommend?

12. What is your favorite programming language? Why?