Data Science Career Guide - Interview Preparation

  • Overview
  • Curriculum
  • Instructor
  • Review

About This Course

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!


  • 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.

Course Curriculum

1 Lectures

Instructors

Profile photo of Jose Portilla
Jose Portilla

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, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill...

Instructors

Profile photo of Pierian Training
Pierian Training

Pierian Training stands as a premier provider in the realms of Data Science and Machine Learning education, offering both in-person and virtual instructor-led training tailored for enterprises. Explore our comprehensive profile to discover a wide range of courses designed to enhance your professional skills and organizational capabilities. Feel free to contact us if you have any questions in the link...

Review
4.9 course rating
4K ratings
ui-avatar of Ganesh
Ganesh
5.0
7 months ago

Good one!

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ui-avatar of Ankit Aharwal
Ankit A.
4.0
1 year ago

Good course, but it was short

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ui-avatar of Matous Koch
Matous K.
5.0
1 year ago

this is my forth course that I am doing with you Jose. You are a great teacher. Than you and your team!

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ui-avatar of Saumitra Biswas
Saumitra B.
5.0
1 year ago

I love the teaching style of Jose. An excellent teacher.

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ui-avatar of Tamara Krivokuca
Tamara K.
2.5
1 year ago

It is not a horrible course, but I feel like most of the questions and facts explored here were very basic and could've been found with a simple google search. I hoped there would be some trick questions or some examples of questions and interview evaluations that one can only get from the interview experience, that is not easily available. Also, the way question/answer scheme was presented is very annoying. Question videos last 15-20 seconds and half of that is just Perian Data intro, it is very annoying hearing the intro repeat every time you go to the next question, why not just post the question lecture as a text instead of video? Most of the answers are just surface level answers, with the note "for more detail go check out the guidebook". I wanted to see more detailed explanations of what exactly the interviewers want to hear when they are asking these questions, because, again, I could've just googled "data science interview questions" and checked out answers in books without the help of this course. From the interview experience I had so far, interviewers are not satisfied with answers presented here and sometimes want very detailed answers. All in all, this course could be helpful for absolute beginners, but I feel at this point you can just use ChatGPT or google, for free.

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ui-avatar of 田口 秀樹
田口 �.
4.0
2 years ago

I could learn about business interview of data science, it was very useful.
Thanks.

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ui-avatar of Jorge Enrique Uribe Zepeda
Jorge E. U. Z.
5.0
2 years ago

El momento me parece sumamente interesante

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ui-avatar of Kiera (Xiaoyu) Zhu
Kiera (. Z.
2.5
2 years ago

didn't get it on probability question 6

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ui-avatar of Elise Sarmiento
Elise S.
5.0
2 years ago

Great organization and presentation of course. It gives a clear picture of what to expect and prepare for!

Very helpful examples. Points out what I know and what I need to review.

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ui-avatar of Anonymized User
Anonymized U.
3.0
3 years ago

depth of question was not sufficient

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