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Udemy Senior Data Scientist Interview Questions and Answers
Udemy Senior Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Company Website and was interviewed in Sep 2023. There were 2 interview rounds.
(1 Question)
- Q1. Design a recommendation model for Udemy platform using course content table and user interaction table.
- Ans.
Design a recommendation model for Udemy platform using course content table and user interaction table.
1. Use collaborative filtering to recommend courses based on user's past interactions and similar users' preferences.
2. Incorporate content-based filtering to recommend courses based on course content similarity.
3. Implement a hybrid recommendation system that combines collaborative and content-based filtering for bet...
They tried testing my prowess on Python coding on a moderate difficulty level.
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Data Scientist Intern Interview Questions & Answers
Scaler Academy
Sumit Sarda
posted on 19 Jun 2024
Selected
I applied via LinkedIn and was interviewed in May 2024. There was 1 interview round.
(2 Questions)
- Q1. Your prior experience with Python
- Ans.
Proficient in Python with experience in data analysis, machine learning, and automation.
Used Python for data cleaning, manipulation, and visualization in projects
Implemented machine learning algorithms using libraries like scikit-learn and TensorFlow
Automated repetitive tasks using Python scripts and libraries like pandas and NumPy
- Q2. Your prior experience with tableau
Interview Preparation Tips
- Python
Skills evaluated in this interview
Time structure is a part of Environment that used as reference to measure and keep track . The structure of the time also a central . And overall the structure of time remains of the debate.
(1 Question)
- Q1. Data Science and Programming
Mathematics and other questions
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
(1 Question)
- Q1. Python DSA problem
(1 Question)
- Q1. What are mutable and immutable data structures?
- Ans.
Mutable data structures can be modified after creation, while immutable data structures cannot be changed once created.
Mutable data structures allow for in-place modifications, while immutable data structures require creating a new instance when modifications are needed.
Examples of mutable data structures include lists, dictionaries, and sets in Python.
Examples of immutable data structures include tuples and strings in
Interview Preparation Tips
- Python DSA
- Numpy, Pandas
Skills evaluated in this interview
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Udemy Senior Data Scientist Interview Process
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