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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: 7,308
•
Рецензии: 1,391

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

MD
27 авг. 2016 г.

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
9 сент. 2017 г.

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.

Фильтр по:

501–525 из 1,358 отзывов о курсе A Crash Course in Data Science

автор: Md N A

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7 дек. 2015 г.

Fantastic short introductory course. loved it.

автор: Kirk L

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7 окт. 2020 г.

Great course, well taught, relevant examples!

автор: Paula F

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27 июля 2020 г.

Adorei!, pretendo continuar estudando na área

автор: JOSEPH A

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7 апр. 2018 г.

Concise overview of the data science process.

автор: Guang C

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1 окт. 2017 г.

It is good for starting to learn data science

автор: Terry L

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24 окт. 2016 г.

Excellent high level overview of data science

автор: Miguel

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6 дек. 2015 г.

good introduction on the lingo and bird's eye

автор: Poon L L

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18 нояб. 2020 г.

nice, easy to understand the concept behind.

автор: WF W I

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26 авг. 2020 г.

An excellent introduction into data science.

автор: TerryTang

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23 дек. 2017 г.

so nice~i get much knowledge from this class

автор: Ravjyot S

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7 дек. 2017 г.

It was a good icebreaker course. Recommended

автор: Hugo R

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16 сент. 2020 г.

Fantastic course, looking forward for more!

автор: Muhammad T R

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3 авг. 2020 г.

This course gave me some important insights

автор: John R

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3 сент. 2019 г.

Solid introduction to get everyone started.

автор: Sergey V

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12 февр. 2018 г.

Very basic information, exactly what I need

автор: Naim J

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18 февр. 2019 г.

Very good high level intro to Data science

автор: John L

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15 июня 2017 г.

Great introduction to this exciting field.

автор: Sunshine S

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28 мар. 2017 г.

Its easy and good course for my field/area

автор: Rayen G

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11 мар. 2016 г.

A really good introduction to the subject.

автор: Kishan G

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16 янв. 2016 г.

Good one for the beginners in data science

автор: Andrei B

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16 янв. 2016 г.

A good 10000 feet view on the Data Science

автор: CONCEPCION G

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6 окт. 2020 г.

bastante interesante y excelente material

автор: Kathleen M

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25 июня 2020 г.

this course was challenging but a lot of

автор: Shane M

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29 янв. 2018 г.

Great introduction to this topic and over

автор: GOZDE E

•
28 нояб. 2017 г.

it was very nice course, thanks coursera.

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