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.

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.Â 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.Â The courseÂ 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!Â

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 containsÂ 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.Â 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!

1

Course Overview Lecture

2

Curriculum Overview

3

Frequently Asked Questions

1

Why a choose a career in Data Science?

2

Data Science is Interdisciplinary

3

Data Science Position and Titles

4

Thoughts on Higher Education

1

Introduction to Interview Preparation

2

Technical Tools of the Trade

3

Theory Knowledge

4

Machine Learning Knowledge

5

Software Knowledge

6

How do I know when I'm ready?

1

Resumes

2

Interview Process

3

Landing Interviews

4

Negotiating Offers

1

Introduction to Probability Interview Questions

2

Probability Question 1

3

Solution for Probability Question 1

4

Probability Question 2

5

Solution for Probability Question 2

6

Probability Question 3

7

Solution for Probability Question 3

8

Probability Question 4

9

Solution for Probability Question 4

10

Probability Question 5

11

Solution for Probability Question 5

12

Probability Question 6

13

Solution for Probability Question 6

14

Note about Probability Interview Question 7

15

Probability Question 7

16

Solution for Probability Question 7

17

Probability Question 8

18

Solution for Probability Question 8

19

Probability Question 9

20

Solution for Probability Question 9

1

Introduction to Statistics Interview Questions

2

Statistics Interview Question 1

3

Solution for Statistics Interview Question 1

4

Statistics Interview Question 2

5

Solution for Statistics Interview Question 2

6

Statistics Interview Question 3

7

Solution for Statistics Interview Question 3

8

Statistics Interview Question 4

9

Solution for Statistics Interview Question 4

10

Statistics Interview Question 5

11

Solution for Statistics Interview Question 5

1

Introduction to Product Design and Metrics

2

Product Design and Metrics - Interview Question 1

3

Product Design and Metrics - Interview Question 1 - Solution

4

Product Design and Metrics - Interview Question 2

5

Product Design and Metrics - Interview Question 2 - Solution

6

Product Design and Metrics - Interview Question 3

7

Product Design and Metrics - Interview Question 3 - Solution

8

Product Design and Metrics - Interview Question 4

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Product Design and Metrics - Interview Question 4 - Solution

10

Product Design and Metrics - Interview Question 5

11

Product Design and Metrics - Interview Question 5 - Solution

1

Introduction to SQL Questions

2

Data with SQL - Interview Question 1

3

Data with SQL - Interview Question 1 -Solution

4

Data with SQL - Interview Question 2

5

Data with SQL - Interview Question 2 - Solution

6

Data with SQL - Interview Question 3

7

Data with SQL - Interview Question 3 - Solution

8

Data with SQL - Interview Question 4

9

Data with SQL - Interview Question 4 - Solution

10

Data with SQL - Interview Question 5

11

Data with SQL - Interview Question 5 - Solution

1

Introduction to Machine Learning Interview Questions

2

Machine Learning Interview Question 1

3

Machine Learning Interview Question 1 - Solution

4

Machine Learning Interview Question 2

5

Machine Learning Interview Question 2 - Solution

6

Machine Learning Interview Question 3

7

Machine Learning Interview Question 3 - Solution

8

Machine Learning Interview Question 4

9

Machine Learning Interview Question 4 - Solution

10

Machine Learning Interview Question 5

11

Machine Learning Interview Question 5 - Solution

12

Machine Learning Interview Question 6

13

Machine Learning Interview Question 6 - Solution

14

Machine Learning Interview Question 7

15

Machine Learning Interview Question 7 - Solution

16

Machine Learning Interview Question 8

17

Machine Learning Interview Question 8 - Solution

18

Machine Learning Interview Question 9

19

Machine Learning Interview Question 9 - Solution

20

Machine Learning Interview Question 10

21

Machine Learning Interview Question 10 - Solution

You can view and review the lecture materials indefinitely, like an on-demand channel.

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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