Data Science Career Guide - Interview Preparation
4.5 (1,551 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,799 students enrolled

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!
4.5 (1,551 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,799 students enrolled
Created by Jose Portilla
Last updated 9/2019
English
English [Auto-generated], Indonesian [Auto-generated], 4 more
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Current price: $135.99 Original price: $194.99 Discount: 30% off
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This course includes
  • 4 hours on-demand video
  • 3 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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.
Course content
Expand all 110 lectures 04:00:24
+ Course Overview
3 lectures 13:27
Curriculum Overview
04:00
Frequently Asked Questions
00:09
+ Data Science Career Overview
4 lectures 14:17
Why a choose a career in Data Science?
02:40
Data Science is Interdisciplinary
02:34
+ Data Science Interview Preparation
6 lectures 19:10
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
+ The Data Science Interview Process
4 lectures 30:39
Resumes
09:41
Interview Process
06:32
Landing Interviews
07:25
Negotiating Offers
07:01
+ Probability Theory Interview Questions
20 lectures 31:10
Introduction to Probability Interview Questions
01:05
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
+ Statistics Interview Questions
11 lectures 27:41
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
Solution for Statistics Interview Question 4
03:03
Statistics Interview Question 5
01:37
Solution for Statistics Interview Question 5
06:00
+ Product Analysis and Business Metrics Interview Questions
11 lectures 21:17
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
+ Working with Data Interview Questions
11 lectures 10:45
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
+ Machine Learning Interview Questions
21 lectures 24:53
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
+ Design of Experiments Interview Questions
9 lectures 17:29
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