Data Science Interview All in One

Data Science Interview All in One, available at $19.99, with 30 lectures, and has 1 subscribers.

You will learn about How to effectively prepare for different types of data scientist questions Get familiar with roles related to data scientist and data analyst Examples of data manipulation questions (e.g, SQL, python) and answers Examples of coding questions and answers Examples of statistics/probability questions and answers Examples of experimental design questions and answers Examples of machine learning questions and answers Examples of product sense questions and answers General framework of case questions and answers General framework of behaviour questions and answers This course is ideal for individuals who are Someone who is interested in working as a data scientist or a data analyst or Someone who is preparing for a data scientist interview or data analyst interview It is particularly useful for Someone who is interested in working as a data scientist or a data analyst or Someone who is preparing for a data scientist interview or data analyst interview.

Enroll now: Data Science Interview All in One

Summary

Title: Data Science Interview All in One

Price: $19.99

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to effectively prepare for different types of data scientist questions
Get familiar with roles related to data scientist and data analyst
Examples of data manipulation questions (e.g, SQL, python) and answers
Examples of coding questions and answers
Examples of statistics/probability questions and answers
Examples of experimental design questions and answers
Examples of machine learning questions and answers
Examples of product sense questions and answers
General framework of case questions and answers
General framework of behaviour questions and answers

Who Should Attend

Someone who is interested in working as a data scientist or a data analyst
Someone who is preparing for a data scientist interview or data analyst interview

Target Audiences

Someone who is interested in working as a data scientist or a data analyst
Someone who is preparing for a data scientist interview or data analyst interview

21st century is the century of technology, data plays a very important role in companies from different industries, more and more positions related to data science are available in the market. Data scientist is a very popular career because it is well-paid and its responsibility includes solving many interesting problems.

As a data scientist with over 10 years of experience. My job is to help you prepare for your data scientist or data analyst interview so you are able to know what is the right position for you, what will most likely to be tested and how to be successful in a standard interview process.

During this course, I will get into the details of various interview portions such as data manipulation, coding (algorithm), stats & probability, experimental design, machine learning & modeling, product sense, behavior questions as well as the high level information for case study. The above portions should be able to cover almost all types of questions being asked in data science interviews and I will teach you how to prepare for each part as well as showing you some sample questions being asked in real interviews from top tech companies such as Amazon, Meta, Google, etc… This course also comes with presentation slides that you can leverage it to prepare for your interviews.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Data Science Interview all in One

Chapter 2: Different Job Titles in Data

Lecture 1: Different Job Titles in Data Science

Chapter 3: Data Manipulation

Lecture 1: How to Prepare for Data Manipulation Questions

Lecture 2: Data Manipulation Example Questions and Answers – 1

Lecture 3: Data Manipulation Example Questions and Answers – 2

Lecture 4: Data Manipulation Example Questions and Answers – 3

Chapter 4: Coding

Lecture 1: How to Prepare for Coding Questions

Lecture 2: Coding Example Questions and Answers – 1

Lecture 3: Coding Example Questions and Answers – 2

Lecture 4: Coding Example Questions and Answers – 3

Chapter 5: Probability & Statistics

Lecture 1: How to Prepare for Probability & Statistics Questions

Lecture 2: Probability & Statistics Example Questions and Answers – 1

Lecture 3: Probability & Statistics Example Questions and Answers – 2

Lecture 4: Probability & Statistics Example Questions and Answers – 3

Chapter 6: Machine Learning & Modelling

Lecture 1: How to Prepare for Machine Learning & Modelling Questions

Lecture 2: Machine Learning & Modelling Example Questions and Answers – 1

Lecture 3: Machine Learning & Modelling Example Questions and Answers – 2

Chapter 7: Experimental Design

Lecture 1: How to Prepare for Experimental Design Questions

Lecture 2: Experimental Design Example Questions and Answers – 1

Lecture 3: Experimental Design Example Questions and Answers – 2

Chapter 8: Product Sense

Lecture 1: How to Prepare for Product Sense Questions

Lecture 2: Product Sense Example Questions and Answers – 1

Lecture 3: Product Sense Example Questions and Answers – 2

Lecture 4: Product Sense Example Questions and Answers – 3

Lecture 5: Product Sense Example Questions and Answers – 4

Chapter 9: Behaviour

Lecture 1: How to Prepare for Behaviour Questions

Lecture 2: Behaviour Example Questions and Answers – 1

Lecture 3: Behaviour Example Questions and Answers – 2

Lecture 4: Behaviour Example Questions and Answers – 3

Chapter 10: Case Study

Lecture 1: How to Prepare for Case Study

Instructors

Starrk Jiang
Senior Data Scientist

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Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

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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