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Data Science Interview Preparation Complete Course

person icon Mohit Jain

4.2

Data Science Interview Preparation Complete Course

Ready for your Data Science Interview by practicing questions previously come in the Fortune Top 100 companies

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Mohit Jain

English [CC]

category icon Development ,Data Science,

Lectures -68

Resources -30

Duration -6.5 hours

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4.2

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Course Description

The objective of this course is to provide the candidate with the right direction and proper guidance so that candidate must get ready for any kind of Data Science interview through Hands-on and practice questions in each possible round.

This course is for anyone who is preparing for Data Science Interview whether you are applying for Entry Level Data Scientist or Senior Data Scientist Lead/Staff Data Scientist or 10+ Years of Experience.

This course has covered all the possible important topics such as SQL, Python, Machine Learning Building, ML Design,

Product Analytics and Metrics, Statistics, AB Testing, Probability, Behavior and Cultural Fit Rounds, etc.
90% of the practice questions in this course have previously come from the Fortune Top 100 companies' interviews.

Follow the chapters in any order and you can pick and select any course in any order as per your requirement.

This course has covered Hands-on Practice Questions, Templates, preparation tips, Solutions, downloadable datasets as well as Python and SQL codes.

what you should not expect from the course? This course will not cover teaching fundamental concepts in python or SQL or ML. or some of the statistical concepts. In fact, this is one of the pre-requisite that you already know the fundamental concepts and through this course, you want to practice for your DS interviews. Moreover, You have access to Python Notebook and SQL editor.

Goals

  • Data Science Interview Format

  • Practice Interview Questions previously come in the Fortune Top 100 companies' interviews

  • Practice Hands-on SQL, Python, and ML Model Building

  • Included Solution Templates for Product Analytics and Design rounds with Case Studies

  • Practice Probability, Hypothesis Testing, and AB Testing Questions

  • Practice Behavior and Cultural Fit Questions

  • Follow the Course in any order as per your requirement

Prerequisites

  • Access to Python Notebook and SQL Editor
  • Fundamental Knowledge on Machine Learning and Programming Concepts such as Python and SQL
Data Science Interview Preparation Complete Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction and Interview Format

2 Lectures
  • play icon Course Introduction 08:56 08:56
  • play icon Data Science Interview Format 07:45 07:45

SQL Questions

19 Lectures
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Python Coding

12 Lectures
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Machine Learning Model Building

3 Lectures
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Machine Learning Design

5 Lectures
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Product Analytics & Metrics

6 Lectures
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Cognitive Ability

3 Lectures
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Probability Questions

4 Lectures
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Hypothesis Questions

3 Lectures
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Machine Learning Questions

6 Lectures
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Behavior & Cultural Fit

5 Lectures
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Instructor Details

Mohit Jain

Mohit Jain

I am passionate data enthusiast and loved to mentor people. My ultimate goal is to bring value in people life.

I have 10+ years of professional experience and worked 7 years at American Express at different levels of leadership.

Currently, I am working at Fintech company and leading the Credit Risk team and objective is to build model to predict the credit worthiness of customer and help the company to find quality customer that in turn generate profits and minimized the loses and write-offs.

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