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Real Data Science Interviews FAANG companies and Startups
Rating: 5.0 out of 5(1 rating)
10 students

Real Data Science Interviews FAANG companies and Startups

Data Science Interview Mastery: Prepare with Real Questions From Top Companies and Startups
Created byQS Academy
Last updated 2/2025
English

What you'll learn

  • Work with real Data Science Interview Questions, not made up ones.
  • See the different types of interview questions that can be asked.
  • Full Python, SQL, and Machine Learning Review/Preparation for interviews
  • Understand the interview process and data science job descriptions.

Course content

6 sections • 15 lectures • 3h 49m total length

  • Introduction5:26

    Students will get a basic idea of the course contents.  Problems will be solved using Python and SQLITE3 in Python.  If students do not have anaconda and jupyter notebooks, it will need to be installed to work on the problems in this course.  Go to the Anaconda website.

  • General Data Science Overview22:34

    I give an overview of the types of interview questions asked in a data science interview.

Requirements

  • No experience necessary, but Python, SQL, and statistics are soft prerequisites.

Description

Breaking into the field of data science requires a strong grasp of technical skills and a strategic approach to the interview process. This course is designed to equip aspiring data scientists with the knowledge and practice needed to succeed in job interviews across various industries, including Big Tech, fintech, Food and Delivery, and more.

Through a combination of real-world interview questions, hands-on coding exercises, and case studies, students will develop expertise in Python, SQL, machine learning, and data analysis. The course covers different types of interviews, such as take-home assignments, live coding challenges, and system design. Students will gain insights into data science hiring trends, organizational roles, and the expectations of employers at different experience levels.

Key topics include data preprocessing, exploratory data analysis, feature engineering, model evaluation, and machine learning algorithms commonly tested in interviews. Students will also learn how to prepare for recruiter screenings, and effectively communicate technical concepts during interviews. The course also provides strategies for tackling time-constrained coding challenges and problem-solving assessments.

By the end of this course, students will have the confidence and skills necessary to tackle technical interviews, showcase their problem-solving abilities, and secure data science roles in a competitive job market. Additionally, students will understand industry-specific nuances and best practices for structuring data-driven solutions during interviews.

Who this course is for:

  • Beginners, Career Transitioners.

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