Data Science Interview Preparation
Ready for your Data Science Interview by practicing questions previously come in the Fortune Top 100 companies
Data Science,Interviewing Skills,Development
Lectures -68
Resources -30
Duration -6.5 hours
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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
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction and Interview Format
2 Lectures
-
Course Introduction 08:56 08:56
-
Data Science Interview Format 07:45 07:45
SQL Questions
19 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Python Coding
12 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Machine Learning Model Building
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Machine Learning Design
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Product Analytics & Metrics
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Cognitive Ability
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Probability Questions
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Hypothesis Questions
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Machine Learning Questions
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Behavior & Cultural Fit
5 Lectures
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Instructor Details
![Mohit Jain](https://www.tutorialspoint.com/assets/profiles/555487/profile/200_1247486-1669832974.jpg)
Mohit Jain
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