|
via Udemy |
Go to Course: https://www.udemy.com/course/sprint-the-data-science-interview/
The Data Science Interview Preparation course on Coursera is a highly valuable resource for anyone seeking to get ready for a career in data science. Recognizing that data science is a multidisciplinary field that combines elements of Computer Science, Mathematics, Statistics, and Domain Knowledge, this course zeroes in on essential topics that are frequently encountered in interviews and practical scenarios. The course offers a focused review of key areas such as Algorithms, SQL, Probability, Statistics, Econometrics, and Machine Learning, along with important soft skills like problem solving, storytelling, and presentation. Covering these core components provides a well-rounded foundation, making it an effective quick-start guide for aspiring data scientists. What sets this course apart is its practical approach. It dives into common interview questions related to Probability, Statistics, and Machine Learning, helping students gain confidence and familiarity with the types of problems they are likely to face. Whether you're at the beginning of your data science journey or looking for a refresher before an interview, this course can significantly enhance your readiness. I highly recommend this course to anyone preparing for data science interviews. Its targeted content, concise format, and practical focus make it an excellent choice for efficient and effective exam prep. Completing this course will not only boost your technical skills but also sharpen your problem-solving and communication abilities—crucial for success in the competitive field of data science.
Data Science is a multidisciplinary which involves Computer Science, Mathematics, Statistics and Domain Knowledge. Preparation for an interview in data science would require knowledge and expertise in a subset of the above disciplines. To summarize one would require skills on Algorithms, SQL, Probability, Statistics, Econometrics, Problem Solving, Machine Learning, Optimization, storytelling and presentation skills. In this course, I would cover few questions on Probability, Statistics and different aspects of Machine Learning. This course can act as a quick preparatory guide to kick start your preparation for a data science interview.