Data Science Career Guide – Interview Preparation
About Course
Become a Data Scientist with our free Data Science Career Guide – Interview Preparation course. Learn everything you need to know to get your dream job in Data Science. This course is designed to be the ultimate resource for landing a successful career in this in-demand field.
We’ll cover everything from a general overview of the field and multiple career paths, including Product Analyst, Data Engineering, Data Scientist, and more. You’ll learn about the best way to pursue each career path and gain a comprehensive understanding of the opportunities available to you.
This course touches upon a wide variety of topics, including probability, statistics, machine learning, product metrics, example data sets, A/B testing, market analysis, and much more! You’ll be equipped with the skills and knowledge to confidently answer real interview questions sourced from top technology companies like Amazon, Square, Facebook, Google, Microsoft, AirBnb, and more.
Each question comes with a detailed explanation and solution, providing you with a clear understanding of the concepts behind the answers. For questions requiring coded solutions, fully commented code examples will be shown for both Python and R. This course is perfect for candidates preparing for data science interviews, as well as recruiters looking to learn about the best practices for interviewing candidates in this field.
This free Data Science Career Guide – Interview Preparation course is available on Udemy. Start your journey to a successful career in Data Science today!
Course Content
Course Overview
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A Message from the Professor
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Course Overview Lecture
09:18 -
Curriculum Overview
04:00 -
Course Material Download Link
00:00
Data Science Career Overview
Data Science Interview Preparation
The Data Science Interview Process
Probability Theory Interview Questions
Statistics Interview Questions
Product Analysis and Business Metrics Interview Questions
Working with Data Interview Questions
Machine Learning Interview Questions
Design of Experiments Interview Questions
Coding Questions
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