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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

S

Jul 18, 2017

This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.

PS

Feb 15, 2018

This course is good starter for anyone wanting to understand data science projects, be it if you are trying to pursue a career in data science or trying to understand overall picture.

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951 - 975 of 1,535 Reviews for A Crash Course in Data Science

By Laxmi S

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Apr 5, 2020

good

By Pawan S

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Mar 23, 2020

nice

By Priyanka R

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Dec 18, 2019

Very

By JENEETA

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Oct 3, 2019

good

By Bommannagari M

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Mar 30, 2019

good

By kailas s

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Jan 15, 2019

good

By AZLIN B R

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Oct 1, 2017

Good

By Khoo W Q W

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Jul 16, 2017

Good

By Mouza A M ( - G B A M

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Feb 26, 2026

yes

By Fhareza A

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Sep 14, 2020

wow

By Yousef N M A ( O - G A

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May 15, 2025

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By CHIRAG L

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May 19, 2021

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By Tunga L

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Jun 13, 2020

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By Jyoti S

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Apr 21, 2020

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By Bidyuta P P

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Apr 3, 2020

g

By Mervat I S

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Mar 16, 2020

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By Ye M Z

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Oct 5, 2019

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By Naeema B S

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Sep 5, 2019

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By Naveen S

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Jun 27, 2019

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By Nam C S

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Oct 16, 2018

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By Debra O

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Feb 26, 2018

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By Manas K K

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Dec 31, 2017

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By Darija J

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Nov 19, 2017

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By Debadyuti S

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Oct 9, 2017

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By Kari J

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Apr 19, 2017

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