They made me to do long analysis in the span of 1hr.
Python Data Scientist Interview Questions
33 python data scientist interview questions shared by candidates
1. Have you understood the job description. 2. Live peer-to-peer hands-on assessment on the Python, Pandas, and Numpy for Data Analysis.
What is the neighborhood in which superhosts have the biggest median price difference with respect to non superhosts? Use the following three columns in the 'listings' dataset to answer this question: 'host_is_superhost', 'neighbourhood_cleansed', and 'price'.
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Given the AirBnB dataset: https://colab.research.google.com/drive/1IwyaZuTccboR8huyWcxHKACTyFQBvHp5?usp=drive_link#scrollTo=I553tK0NAHtd Listings: This is a table that contains information about Airbnb listings in some city. Every listing has a single row in the table and contains several attributes related to the listing as well as the Airbnb host for the listing. Reviews: This is a table that contains information about all the guest reviews for the listings in the “Listings” table, along with related attributes such as the date of the review and the reviewer's name Answer the following questions:
In SQL what is the difference between UNION and JOIN?
What is continuous integration?
I was asked about some modules in python
What is the listing with the best expected revenue based on the last 12 months, considering 60% of guests leave reviews and every guest will stay only the minimum number of nights? Use both the 'listings' and 'reviews' datasets for this question and only use listings with minimum nights of stay <= 7. The 'minimum_nights' column indicates the required minimum number of nights of stay for any listing.
1.How will you copy file from one Linux system to other linux system? 2.How can you design a system which will display failure of all the servers. 3.what is SSH? 4.is string mutable 5. How can you search a integer from 50000 random integers?
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