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Data Science Interview Course

Nail Data Science interviews at FAANG and Tier-1 Tech Companies

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Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Andrew Treadway

Research Data Scientist

Qiuping Xu.

Principal Data Scientist

Bhuvan Venkatesh

Data Scientist

Adrián Fernández

Engineering Manager

Jennifer Lai

Technical Sourcing Manager

Qiuping Xu.

Principal Data Scientist

Yuval Scharf

Staff Software Engineer

Manoj Krishnan

Software Engineer

Andre Kirchner

Software Engineer

Abdul Salama

Manager, Applied AI

Bhuvan Venkatesh

Data Scientist

Chao Zhang

Andrew Treadway

Research Data Scientist

Hasan Shojaei

Data Scientist

Jakob Heuser

Sergey Borovikov

Sr. Software Engineer

Suhas Satish

Senior Engineering Manager

Bharath Srikanth

Data scientist

Jacob Marcus

Capital strategy manager

Nick Camilleri

Head of Career Skills Dev

Anmol Darak

Data Scientist II

Rituraj Jodha

Senior Data Scientist

Mantej Gill

AI Researcher and Senior ML R&D Engineer

Rajdeep B.

ML Scientist

Abhinav Maurya

Data and Applied Scientist 2

Shubajit Saha

Software Engineer Machine Learning

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Data Science Course Curriculum

This is what you’ll learn in our Data Science career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Best Suited for

  • Current or Former Data Scientists
  • Software Engineers working on ML Models

Data Science Interview Process at Tier-1 Companies

We prepare you for all stages of a typical data science interview process at FAANG and Tier-1 companies

1 Coding Round

Easy to medium Leetcode problems or Python-based data manipulation, wrangling questions. SQL is often a part of these rounds.

Behavioral Round

  • Questions related to your job experience
  • Discussions on past projects
  • Open-ended questions to gauge if you’re a “good fit”

3-4 Onsite Rounds

  • 1 Problem-Solving/Discussion Round: Discussing past work experience, projects, and approach; questions based on statistics, coding, probability, and quantitative aptitude.
  • 1 Take-Home Assignment Round: Some companies give a dataset and inference-based questions to judge your approach to the problem and deduction skills. The usual deadline is 24-48 hours.
  • 1-2 Domain Rounds: Deep dive into Data Science fundamentals. Questions in these rounds typically focus on designing experiments to meet certain business goals, A/B testing, and ML algorithms.

Top companies love hiring our candidates!

What our students say

Akshay Lodha

Data Engineer

Offers from

Meta
"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."

Sujay Ghosh

Software Development Manager

Offers from

“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”

Rupesh Dabbir

Offers from

instructor-cmpny
Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.

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