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

4.5
stars
8,345 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

AN

Jan 11, 2016

This course is a really good starting point for people new to the field of data science. I come from a data warehousing and historical analysis background and I found this course useful.

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876 - 900 of 1,531 Reviews for A Crash Course in Data Science

By Sabrina S

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Feb 12, 2017

Just great!

By Christopher P

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Jun 17, 2016

Great intro

By Yaritzbeth E

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Sep 4, 2025

Excelente.

By Marcos F B O

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Jan 20, 2025

Excelente!

By Gudrat I

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Dec 1, 2020

Just do it

By Dr. R S

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Nov 26, 2020

Excellent!

By Suha O

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Nov 26, 2020

excellent.

By Henk W

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Nov 14, 2019

Very nice!

By Megan B

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Oct 24, 2019

Great job!

By Hugo A N G

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Aug 15, 2017

Excellent!

By Humbert S

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May 1, 2017

Fantastic!

By SUJAY K B

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May 8, 2022

very good

By aravind n

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May 1, 2022

excellent

By Juan M T E

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Jan 5, 2021

Excelent!

By Neha K

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Sep 15, 2020

EXCELLENT

By DIPAYAN S

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Sep 2, 2020

Excellent

By Sutapa J

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Aug 25, 2020

VERY GOOD

By Nicolas A R E

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Aug 14, 2020

Excellent

By Eduin P

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Jul 6, 2020

Excellent

By Chandra L

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Dec 16, 2019

Excellent

By Siti S B

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Jul 28, 2019

A very gr

By Srikanth P

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Apr 19, 2018

Awesome !

By Roshan S

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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