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

4.5
stars
8,216 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

LL

Dec 25, 2015

Highly Enlightening for those who just beginning to learn data science,The courses are very detailed and well organized,All the aspects of the data science are introduced in intriguing mannerThank you

SJ

Sep 10, 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

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1201 - 1225 of 1,506 Reviews for A Crash Course in Data Science

By Vraj C

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Nov 2, 2015

It's really a nice introductory course for Data Science!

By Damo V

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Oct 16, 2015

need to get a bit more specific about the tools required

By S M

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Oct 6, 2015

Overall a compact course, illustrations could be better.

By Raju K

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Aug 30, 2020

good course.. i tested my knowledge by giving quizes...

By Peter E

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Apr 7, 2018

Good introduction to the terminology and basic concepts

By Dharmil S

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Nov 8, 2016

A good course to learn all the basics of DATA SCIENCE !

By Orr M

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Aug 12, 2017

A great intro to DS.

I hoped for some actual exercises.

By Aime B

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Aug 8, 2016

I was quite satisfied with the content of this course.

By Fanick A

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Jun 10, 2016

Quick and concise. A great deal of knowledge acquired.

By Samuel C

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Jan 27, 2020

Great course to have a quick overview of data science

By Khangjrakpam A

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Jan 21, 2020

nice course but content was very shallow not in depth

By Raghavendra S

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Oct 19, 2018

Excellent crash course for beginners to Data Science.

By David O

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Jun 12, 2018

Good overview of the data science domain in general !

By Kaoma M M

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Feb 16, 2016

Good crash course, presents relevant concepts quickly

By Gautam R

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Apr 27, 2020

Need some more case stidies of Data Science projects

By Meenupriya

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Feb 25, 2018

More examples would be awesome for beginners like me

By Betty D L C N

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Jul 7, 2017

The medical examples are more complex to understand.

By MAHESH S

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Aug 4, 2020

the course was very intersting and more informative

By Syed m s h

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Feb 12, 2016

Very well organized course ..Short and to the point

By Umm U B

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Oct 17, 2020

It is nice to have an idea of Data science basics.

By Joran K

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May 26, 2019

It's short and sweet and obviously just a summary.

By Elimane N

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Mar 24, 2019

A very interesting course and useful for beguiners

By Mikaela R

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Aug 10, 2018

Really good content. Some typos in the transcript.

By Edmund K

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Feb 20, 2021

Super helpful coming from a different background.

By Nick C

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Jan 13, 2017

good starting course; information well presented.