Udemy

Data Science Career Guide - Interview Preparation

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  • 23,757 Students
  • Updated 9/2019
4.6
(2,717 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 0 Minute(s)
Language
English
Taught by
Jose Portilla, Pierian Training
Rating
4.6
(2,717 Ratings)
2 views

Course Overview

Data Science Career Guide - Interview Preparation

Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions!

According to Glassdoor, a career as a Data Scientist is the best job in America! With an average base salary of over $120,000, not only do Data Scientists earn fantastic compensation, but they also get to work on some of the world's most interesting problems! Data Scientist positions are also rated as having some of the best work-life balances by Glassdoor. Companies are in dire need of filling out this unique role, and you can use this course to help you rock your Data Scientist Interview!

This course is designed to be the ultimate resource for getting a career as a Data Scientist. We'll start off with an general overview of the field and discuss multiple career paths, including Product Analyst, Data Engineering, Data Scientist, and many more. You'll understand the various opportunities available and the best way to pursue each of them. The course touches upon a wide variety of topics, including questions on probability, statistics, machine learning, product metrics, example data sets, A/B testing, market analysis, and much more! 

The course will be full of real questions sourced from employees working at some of the world's top technology companies, including Amazon, Square, Facebook, Google, Microsoft, AirBnb and more!

The course contains real questions with fully detailed explanations and solutions. Not only is the course designed for candidates to achieve a full understanding of possible interview questions, but also for recruiters to learn about what to look for in each question response. For questions requiring coded solutions, fully commented code examples will be shown for both Python and R. This way you can focus on understanding the code in a programming language you're already familiar with, instead of worrying about syntax!


Course Content

  • 10 section(s)
  • 110 lecture(s)
  • Section 1 Course Overview
  • Section 2 Data Science Career Overview
  • Section 3 Data Science Interview Preparation
  • Section 4 The Data Science Interview Process
  • Section 5 Probability Theory Interview Questions
  • Section 6 Statistics Interview Questions
  • Section 7 Product Analysis and Business Metrics Interview Questions
  • Section 8 Working with Data Interview Questions
  • Section 9 Machine Learning Interview Questions
  • Section 10 Design of Experiments Interview Questions

What You’ll Learn

  • Create a great data science resume!
  • Understand various positions and titles available in the data science ecosystem.
  • Get practice with probability and statistics interview questions.
  • Build an understanding of good experiment design.
  • Get practice with SQL interview questions.

Reviews

  • S
    Somnath Dutta
    5.0

    Lecture quality is very good.

  • A
    Arulen Danen Padiachy
    5.0

    Great insights!

  • N
    Naama Krasne
    2.5

    The statistics and probability sections were good. However, I don’t think the machine learning or product questions accurately reflect what would be asked in real interviews. They mostly focus on explaining terminology rather than practicing realistic problem-solving.

  • K
    Kunal Wankhede
    5.0

    Excellent

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