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Kursteilnehmer-Bewertung und -Feedback für A Crash Course in Data Science von Johns Hopkins University

4.5
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6,263 Bewertungen
1,190 Bewertungen

Über den Kurs

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 Bewertungen)
Well taught
(48 Bewertungen)

Top-Bewertungen

MD

Aug 28, 2016

Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.\n\nGreat Job!

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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901 - 925 von 1,158 Bewertungen für A Crash Course in Data Science

von Aime B

Aug 08, 2016

I was quite satisfied with the content of this course.

von Fanick S B A

Jun 10, 2016

Quick and concise. A great deal of knowledge acquired.

von Samuel C

Jan 27, 2020

Great course to have a quick overview of data science

von KHANGJRAKPAM A

Jan 21, 2020

nice course but content was very shallow not in depth

von Raghavendra S

Oct 19, 2018

Excellent crash course for beginners to Data Science.

von David O

Jun 12, 2018

Good overview of the data science domain in general !

von Kaoma M M

Feb 16, 2016

Good crash course, presents relevant concepts quickly

von Gautam R

Apr 27, 2020

Need some more case stidies of Data Science projects

von Meenupriya

Feb 25, 2018

More examples would be awesome for beginners like me

von Betty D L C N

Jul 07, 2017

The medical examples are more complex to understand.

von syed m s h

Feb 12, 2016

Very well organized course ..Short and to the point

von Joran K

May 26, 2019

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

von Elimane N

Mar 24, 2019

A very interesting course and useful for beguiners

von Mikaela R

Aug 10, 2018

Really good content. Some typos in the transcript.

von Nick C

Jan 13, 2017

good starting course; information well presented.

von Thomas A

Apr 01, 2020

Excellent, foundational and conceptual overview.

von Sri K L

Jul 21, 2016

It is a good introductory course in Data Science

von Sanjay K C

Mar 15, 2018

Great, quick recap on the fast emerging science

von Carmen A

Jul 03, 2017

Good high level information, clearly presented.

von tito d

Jun 10, 2020

Material dinámico y agradable, muy especifico.

von Brian N

Apr 11, 2018

Good for introduction in Data Science Process

von Gustavo d A B

Sep 28, 2017

Very good course compilation of Data Science.

von SOUMYAJIT P

Jan 06, 2018

Good Introductory course for basic learners.

von Anith p

Mar 19, 2017

It is good informative course for beginners.

von prasanna v

Dec 30, 2016

some explanation was too technical too early