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Development Data Science Interviewing Skills

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!
Bestseller
Rating: 4.7 out of 54.7 (1,914 ratings)
14,360 students
Created by Jose Portilla
Last updated 9/2019
English
English [Auto], Indonesian [Auto], 
30-Day Money-Back Guarantee

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.
Curated for the Udemy for Business collection

Course content

12 sections • 110 lectures • 4h 0m total length

  • Preview09:18
  • Curriculum Overview
    04:00
  • Frequently Asked Questions
    00:09

  • Why a choose a career in Data Science?
    02:40
  • Data Science is Interdisciplinary
    02:34
  • Preview04:03
  • Preview05:00

  • Introduction to Interview Preparation
    00:45
  • Technical Tools of the Trade
    06:31
  • Theory Knowledge
    01:52
  • Machine Learning Knowledge
    02:13
  • Software Knowledge
    02:54
  • How do I know when I'm ready?
    04:55

  • Resumes
    09:41
  • Interview Process
    06:32
  • Landing Interviews
    07:25
  • Negotiating Offers
    07:01

  • Introduction to Probability Interview Questions
    01:05
  • Preview00:43
  • Solution for Probability Question 1
    04:50
  • Probability Question 2
    00:26
  • Solution for Probability Question 2
    01:00
  • Probability Question 3
    00:35
  • Solution for Probability Question 3
    00:53
  • Probability Question 4
    01:49
  • Solution for Probability Question 4
    02:15
  • Probability Question 5
    00:47
  • Solution for Probability Question 5
    02:32
  • Probability Question 6
    00:39
  • Solution for Probability Question 6
    02:22
  • Note about Probability Interview Question 7
    00:15
  • Probability Question 7
    00:58
  • Solution for Probability Question 7
    05:06
  • Probability Question 8
    00:39
  • Solution for Probability Question 8
    02:26
  • Probability Question 9
    00:35
  • Solution for Probability Question 9
    01:15

  • Introduction to Statistics Interview Questions
    00:44
  • Statistics Interview Question 1
    01:27
  • Solution for Statistics Interview Question 1
    04:31
  • Statistics Interview Question 2
    00:52
  • Solution for Statistics Interview Question 2
    03:20
  • Statistics Interview Question 3
    00:36
  • Solution for Statistics Interview Question 3
    04:11
  • Preview01:20
  • Solution for Statistics Interview Question 4
    03:03
  • Statistics Interview Question 5
    01:37
  • Solution for Statistics Interview Question 5
    06:00

  • Introduction to Product Design and Metrics
    00:45
  • Product Design and Metrics - Interview Question 1
    00:50
  • Product Design and Metrics - Interview Question 1 - Solution
    04:24
  • Product Design and Metrics - Interview Question 2
    01:36
  • Product Design and Metrics - Interview Question 2 - Solution
    02:31
  • Product Design and Metrics - Interview Question 3
    00:47
  • Product Design and Metrics - Interview Question 3 - Solution
    02:08
  • Product Design and Metrics - Interview Question 4
    00:54
  • Product Design and Metrics - Interview Question 4 - Solution
    01:25
  • Product Design and Metrics - Interview Question 5
    02:30
  • Product Design and Metrics - Interview Question 5 - Solution
    03:27

  • Introduction to SQL Questions
    01:20
  • Data with SQL - Interview Question 1
    00:26
  • Data with SQL - Interview Question 1 -Solution
    01:11
  • Data with SQL - Interview Question 2
    00:26
  • Data with SQL - Interview Question 2 - Solution
    01:03
  • Data with SQL - Interview Question 3
    00:32
  • Data with SQL - Interview Question 3 - Solution
    00:50
  • Data with SQL - Interview Question 4
    01:15
  • Data with SQL - Interview Question 4 - Solution
    01:56
  • Data with SQL - Interview Question 5
    00:35
  • Data with SQL - Interview Question 5 - Solution
    01:11

  • Introduction to Machine Learning Interview Questions
    01:04
  • Machine Learning Interview Question 1
    00:30
  • Machine Learning Interview Question 1 - Solution
    01:51
  • Machine Learning Interview Question 2
    00:21
  • Machine Learning Interview Question 2 - Solution
    02:33
  • Machine Learning Interview Question 3
    00:21
  • Machine Learning Interview Question 3 - Solution
    02:41
  • Machine Learning Interview Question 4
    00:19
  • Machine Learning Interview Question 4 - Solution
    01:23
  • Machine Learning Interview Question 5
    00:20
  • Machine Learning Interview Question 5 - Solution
    01:37
  • Machine Learning Interview Question 6
    00:39
  • Machine Learning Interview Question 6 - Solution
    00:49
  • Machine Learning Interview Question 7
    00:24
  • Machine Learning Interview Question 7 - Solution
    02:07
  • Machine Learning Interview Question 8
    00:26
  • Machine Learning Interview Question 8 - Solution
    02:18
  • Machine Learning Interview Question 9
    00:24
  • Machine Learning Interview Question 9 - Solution
    02:19
  • Machine Learning Interview Question 10
    00:17
  • Machine Learning Interview Question 10 - Solution
    02:10

  • Introduction to Design of Experiments
    00:35
  • Design of Experiments Interview Question 1
    00:36
  • Design of Experiments Interview Question 1 - Solution
    05:12
  • Design of Experiments Interview Question 2
    00:26
  • Design of Experiments Interview Question 2 - Solution
    03:54
  • Design of Experiments Interview Question 3
    00:41
  • Design of Experiments Interview Question 3 - Solution
    03:10
  • Design of Experiments Interview Question 4
    00:23
  • Design of Experiments Interview Question 4 - Solution
    02:32

Requirements

  • An understanding of Probability and Statistics
  • Programming Experience in either Python or R
  • Experience in SQL
  • An understanding of Machine Learning Algorithms

Description

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!


Who this course is for:

  • Anyone who wants to prepare for a Data Science Interview
  • Anyone interested in a career in Data Science

Featured review

Benjamin Dourthe
Benjamin Dourthe
38 courses
18 reviews
Rating: 5.0 out of 57 months ago
Short and valuable knowledge that can really help improve your interviewing skills. I would say that this course only looks at a few examples that can help you practice, but I would recommend people to continue looking for additional resources when practicing for tech interviews. This course was a great help, but still not enough to be ready for large tech companies.

Instructor

Jose Portilla
Head of Data Science, Pierian Data Inc.
Jose Portilla
  • 4.6 Instructor Rating
  • 717,328 Reviews
  • 2,194,822 Students
  • 31 Courses

  Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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