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Learner Reviews & Feedback for A Crash Course in Data Science by Johns Hopkins University

4.5
stars
8,374 ratings

About the Course

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT...
Highlights
Basic course

(76 Reviews)

Well taught

(48 Reviews)

Top reviews

JX

Jun 20, 2016

fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science

VV

Feb 20, 2020

I think the course design was really excellent. Though he seems like he is a nice, intelligent person, I found it hard to relate to Brian Caffo. His delivery was quite dull, and boring.

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901 - 925 of 1,535 Reviews for A Crash Course in Data Science

By Roshan S

•

Mar 24, 2018

Fantastic

By Abdelmajid E

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Mar 10, 2018

Very good

By Prabu K

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Oct 22, 2017

Very good

By Marco G

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Sep 5, 2017

Comprehen

By Wallace O

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Mar 6, 2017

Excellent

By Sateesh K R

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Feb 14, 2017

Excellent

By Louis-Philippe N C

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Nov 9, 2016

Nice high

By Gaston R

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Jan 22, 2021

Very key

By Thiago Y

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Nov 9, 2020

Amazing!

By JEAN M O M

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Sep 23, 2020

so happy

By Thomaz P V

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Sep 11, 2020

Amazing!

By sagar s

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Sep 15, 2017

Awesome!

By Vitaly V

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Feb 20, 2017

Good one

By Mariusz K

•

Dec 31, 2015

Awesome!

By Wael M A H

•

Sep 2, 2025

Perfect

By Dr. S N B

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Jun 24, 2021

Awesome

By Swaraj K

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Jun 20, 2020

Helpful

By Reiner P

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May 18, 2020

Perfect

By Debora G D R

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Oct 25, 2017

awesome

By Md. A K

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Aug 4, 2017

Helpful

By Jeff D

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Nov 7, 2020

Thanks

By Af R

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Oct 23, 2020

great!

By sadhana t

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Apr 29, 2020

5 star

By Nitin S M

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Jul 28, 2019

Thanks

By Azith K

•

Aug 19, 2018

Thanks