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Отзывы учащихся о курсе A Crash Course in Data Science от партнера Университет Джонса Хопкинса

4.5
Оценки: 5,160
Рецензии: 979

О курсе

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...
Основные моменты
Well taught
(рецензий: 48)
Basic course
(рецензий: 76)

Лучшие рецензии

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.

JM

Jan 02, 2018

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

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726–750 из 947 отзывов о курсе A Crash Course in Data Science

автор: Andrey K

Nov 19, 2017

Good course. But a little bit theoretical

автор: VenkatR

Dec 07, 2017

Some very good concepts for newer folks is in place. A good understanding of supervised and unsupervised learning with examples is of help. The trade off between statistics and Data science was interesting to know. More emphasis on tools will allow us to gather a good view of the execution path. But a good insight on the existing tools and what they can do was helpful to know

автор: Peter E

Nov 08, 2016

I am a PhD biologist leading a team of data analysts. I found this course to be quick and easy to follow, well presented, and extremely helpful. The instructors are truly professional and they excel in this medium, I was very impressed. Thanks Coursera and Johns Hopkins!

автор: Tian J

May 23, 2018

Good for getting an overall picture for state-of-art data science object

автор: Brian N

Apr 11, 2018

Good for introduction in Data Science Process

автор: Christopher L

Apr 25, 2018

Non technical but a good orientation.

автор: Paul M

Mar 26, 2018

I probably needed a bit more background in data science before taking this course, but it was easy to follow all the same.

автор: Lucas D

Apr 30, 2018

Good introduction for newbies!

автор: Lorenz F

Jan 10, 2018

good, high level introduction what data science is all about. The section on the structure of a data science project could have gone more into details, maybe following the steps on a specific example. I also missed some insight into the step from the question to the search algorithm. Maybe that's part of the further courses.

автор: Ruchit G

Mar 19, 2018

It was very good to gain knowledge as beginner in field of Data science

автор: Danish S

Feb 01, 2018

Good . Keep

автор: Ebony H

Jul 02, 2018

The questions on the quiz for the secrets of success to not align with the section taught. Overall decent to understanding the basics.

автор: Manoj G

Jul 07, 2018

This is the great course where I do able to understand the basics of Data Science and what it all dealt with.

автор: Kalyan K S N

Oct 07, 2015

Very good course to understanding the nuances of Data science and various tools used.

автор: Ikechukwu N

Jul 24, 2016

Great! Very interesting & informative.

автор: Bhavya C

Sep 16, 2017

This is a beautifully designed crash course on Data Science and gives you insight into Machine Learning and how it can be used effectively. The examples it highlights are brilliant! Thanks to the instructors and Johns Hopkins University.

автор: Bryan L

Jan 09, 2017

High level, but very informative.

автор: Rui R

Jun 05, 2017

Not dificult, but can be improved !

In terms of time, it is not time consuming. Better to whom has less time.

автор: Damo V

Oct 16, 2015

need to get a bit more specific about the tools required

автор: Michael W

Jun 05, 2016

Was a good introduction. The focus was good as I feel I came away with knowledge of the field as opposed to technology. Only recommendation is to ask professors to use more practical examples in the lectures.

автор: Gustavo d A B

Sep 28, 2017

Very good course compilation of Data Science.

автор: Peter E

Apr 07, 2018

Good introduction to the terminology and basic concepts

автор: Madhav D

Jan 20, 2016

Good course for someone wanting to familiarize themselves with Data Science and understand the basics.

автор: Ayush A

Nov 23, 2015

Nice one :)

автор: Anders R K

Oct 24, 2015

I really liked it. Some of tje jargon was a bit technical though. But overall really appriated the opportunity yo learn,