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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: 5,216
Рецензии: 983

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.


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,

Фильтр по:

151–175 из 951 отзывов о курсе A Crash Course in Data Science

автор: Randhir N

Dec 20, 2017

Good one to start with

автор: John L

Jun 15, 2017

Great introduction to this exciting field.

автор: Antonio R d G F

Dec 07, 2017

Amazing course !

автор: Paulina P L

Sep 29, 2017

I got many useful tips to manage my team. Thank you!

автор: Ravjyot S

Dec 07, 2017

It was a good icebreaker course. Recommended


Sep 13, 2017

The course content was great covering all the basics one needs to know to get a idea about what is data science and the instructors was very clear in explaining the concepts and provided a lot of relevant examples.A personal thanks to them.

автор: Yang G

Sep 10, 2017

Very nice crash course. I have learned a lot about data science. Now I can choose some further topics.

автор: Edij

Dec 17, 2017

Excellent introductory session to data science. Useful to give me a frame of thought about what data science is all about and how it can be valuable to my work.

автор: Chris C

Nov 17, 2017

Excellent overview!

автор: CANER K

Dec 01, 2017


автор: Anthony T

Dec 23, 2017

Helpful for the beginner.

автор: Haiping S

Nov 30, 2017

My first Coursera learning experience. Very good!

автор: Faysal A

Jun 25, 2018

A very good refresher.

автор: AZLIN B R

Oct 01, 2017


автор: Kuldeep S S

Nov 17, 2017

awesome course.

автор: Anna S

Nov 23, 2017

A very interesting course, expecially for someone with just a little experience in the field. I highly recommend it to all business / IT / project managers who work a lot with data scientists.

автор: Piti D

Jul 24, 2017

Overview to know about Data Science

автор: Md. A K

Aug 04, 2017


автор: abby.zyd

Oct 23, 2017


автор: Shanmuga S

Jun 17, 2017

Very well packed.

автор: Chris v

Sep 11, 2017

good introductory course

автор: 杨波

Oct 22, 2017

Good course!

автор: GOZDE E

Nov 28, 2017

it was very nice course, thanks coursera.

автор: Martin B

Jun 12, 2018

Der Kurs kann sich sehen lassen.

автор: Palash J

Mar 21, 2018

An engaging course with precise learning methods built on excellently chosen case studies and examples. A must do for every aspiring data scientist out there!