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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

4.5
звезд
Оценки: 5,498
Рецензии: 1,040

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

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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351–375 из 1,011 отзывов о курсе A Crash Course in Data Science

автор: manideep

Jul 05, 2017

Very good summary of introduction to data sciences

автор: Jhon C

Dec 19, 2016

Excellent Material and good explanations. Thanks.

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: Md N A

Dec 07, 2015

Fantastic short introductory course. loved it.

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: 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

автор: John R

Sep 03, 2019

Solid introduction to get everyone started.

автор: Sergey V

Feb 12, 2018

Very basic information, exactly what I need

автор: Naim J

Feb 18, 2019

Very good high level intro to Data science