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Вернуться к A Crash Course in Data Science

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

Оценки: 6,911
Рецензии: 1,309

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

Лучшие рецензии


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.


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!

Фильтр по:

451–475 из 1,278 отзывов о курсе A Crash Course in Data Science

автор: Néstor A M

Dec 10, 2015

Great course to start learning about Data Science.

автор: Robert D

Sep 24, 2015

Good intro to the concepts. Not technical at all.

автор: Teo C Y

Sep 24, 2015

Good introduction of a few essential key concepts.

автор: Evren O

Sep 11, 2019

Informative. Very nice introduction to the topic.

автор: Dinindu K H W W

Jul 25, 2019

Quick catchup of the broad domain data science :)

автор: Gustavo V

Mar 25, 2019

A brief but helpfull introduction to Data Science

автор: Bauyrzhan S

Jun 11, 2018

An uderstand and interesting introductory course.

автор: Haiping S

Nov 30, 2017

My first Coursera learning experience. Very good!

автор: Ajay P

Feb 21, 2016

Excellent course, material and superior teaching.

автор: Hassan A L H A

Nov 14, 2017

A very good introductory course for data science

автор: P.M.A. v O

Oct 27, 2015

Great course as an introduction to data science.

автор: Rituraj B

Feb 26, 2018

Very easy to understand and insightful! Thanks.

автор: Laurie J P

Jan 25, 2017

Great lecturers who make it easy to understand.

автор: Komgrid K

Apr 10, 2020

Great!! I'm Student from Thailand Love this :)

автор: Priyanshu K

Apr 10, 2020

Well maintained course will done coursera team

автор: Md N A

Dec 07, 2015

Fantastic short introductory course. loved it.

автор: Kirk L

Oct 07, 2020

Great course, well taught, relevant examples!

автор: Paula F

Jul 27, 2020

Adorei!, pretendo continuar estudando na área

автор: JOSEPH A

Apr 07, 2018

Concise overview of the data science process.

автор: Guang C

Oct 01, 2017

It is good for starting to learn data science

автор: Terry L

Oct 25, 2016

Excellent high level overview of data science

автор: Miguel

Dec 06, 2015

good introduction on the lingo and bird's eye

автор: WF W I

Aug 26, 2020

An excellent introduction into data science.

автор: TerryTang

Dec 23, 2017

so nice~i get much knowledge from this class

автор: Ravjyot S

Dec 07, 2017

It was a good icebreaker course. Recommended