Top Data Science Interview Questions & Answers 2023 | Technical Interview Tips | DS Tutorial

Описание: Preparing for your next round of data science interviews? Sumit Shukla, DSML Instructor, brings you a detailed tutorial on what kind of data science interview questions you’d be expected to solve in a Data Science interview and how you should approach these questions. Check out our FREE masterclasses by leading industry experts now:
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What is Data Science?
Data Science is an interdisciplinary field that involves the use of statistical, computational, and machine-learning techniques to extract insights and knowledge from large and complex data sets. It encompasses various stages of data analysis, including data collection, cleaning, processing, modelling, and visualisation.

What are technical interviews?
Tech interviews are a type of job interview where candidates are evaluated for their technical knowledge and problem-solving abilities in the field of technology. They typically involve coding challenges, technical questions, and sometimes whiteboard exercises to test a candidate's ability to think critically and solve problems.

What is computer science?
Computer science is the study of computers and computational systems. It encompasses the design, development, and analysis of algorithms, programming languages, software, and hardware. Computer scientists solve complex problems, create new technologies, and drive innovation in fields such as artificial intelligence, cybersecurity, and robotics.

What are tech skills?
Tech skills refer to the abilities and knowledge required to use technology efficiently and effectively. These skills can range from basic computer literacy to advanced proficiency in programming languages, software development, and technology-related fields. Tech skills are increasingly important in many jobs and industries and are essential for success in a rapidly digitising world.

Topics covered:
0:00 - Data Science Interview Skit - Real Life Funny Scenario
2:37 - 1.What are the Different techniques used for Sampling and main advantages of Sampling?
9:27 - Simple Random Sampling
12:57 - Stratified Sampling
17:34 - 2.Explain Overfitting and Underfitting
25:49 - 3.Explain Bias and Variance
32:59 - 4.Define the Confusion Matrix
41:49 - 5.What is Cross-Validation?
53:26 - Outro

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