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

4.5
Оценки: 5,156
Рецензии: 977

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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126–150 из 946 отзывов о курсе A Crash Course in Data Science

автор: Alberto N

Sep 22, 2015

Very good overall introduction to data science (DS). I would go for the other 3 in the specialisation.

автор: Adil S

Nov 23, 2016

It's a good starting point. I've now got a good idea of what else I need to learn. The course also provides an easy to apply approach to get value from my efforts using data science.

автор: Hitesh B

May 04, 2016

An outstanding short course on data science which clearly explains the what, why and how of DS.

автор: Faisal H

Feb 25, 2016

Brilliant Course.

автор: Vaughan W

Jan 31, 2017

Great introduction. Clear, well-paced introduction. Recommended for busy executives looking for an intro.

автор: Michelle W

Mar 16, 2018

great series. instructors are clear, use relevant examples, and keep it simple.

автор: Spyros S

Oct 28, 2016

Excellent course for getting the basics of organizing a data science team.

автор: Joachim V

Nov 13, 2015

Awesome short introduction about what data science is about. If you don't have a lot of time but want to get acquainted with the field of data science you should take this one.

автор: Luis E C

Jan 07, 2016

Simple and to the point. I recommend this class to any data scientist or manager planning to supervise a data science team or plan projects based on data analysis. This class would make an excellent review for early PhD students in any science field.

автор: David I S

Mar 23, 2017

Great Crash course.

It fills the coriosity about this field and encourages me to follow with this path.

I'll continue, for sure.

автор: Kim C

May 25, 2017

Very good introduction course. It had just enough information without being overwhelming.

автор: Ben J

Jan 19, 2016

This is a very nice executive level explanation of Data Science topics. These 3 professors are excellent communicators of this field.

автор: Katharina H

Dec 02, 2015

As a complete novice to the field I found this course really useful to get a concise overview and understand some of the trends in big data/ data science. I liked the way the lecturers highlighted that hype needed to be distinguished from what data science can really do for us.

автор: Md N A

Dec 07, 2015

Fantastic short introductory course. loved it.

автор: Kaluperuma I P S

Sep 17, 2017

excellent course

автор: Robert D

Sep 24, 2015

Good intro to the concepts. Not technical at all.

автор: Sree_Ganesh

Sep 24, 2016

Just the right knowledge that a beginner like me needs

автор: tommy c

May 23, 2016

great for existence human and android based life-form simulation internal lifestyle...

The course improves life within the simulation 10 fold at least(when combined with the other specialization courses) ...

Perfect learning tool for those who have worked professionally in research field sin our simulation and yet now have a touch of "the turrings" or you know : CBI...

Special thanks to the designers of the course.

Top scores for coursera.org &John Hopkins ...

автор: Nikhil J

Sep 17, 2015

quick and fun, quite like a crash course

автор: Sara d M M L d S

Jun 29, 2016

Great crash course with the fundamentals of Data Science. Excellent for having some ideas about the subject.

автор: Patricia R

Jan 27, 2016

A really great overview of what is Data Science and how it fits in with decision making. It answered a lot of basic questions and got me curious to pursue other courses on data science. The professors were very knowledgeable and gave great examples. The only thing I would recommend to the professors is to make the lectures a little more dynamic. A voice over of static slides can be a little hard to follow.

автор: Mirza A b

Jan 17, 2017

Very helpful, well structured and comprehensive course.

автор: Lucas K M

Oct 23, 2016

This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself. Overall, this was a good course for beginners.

автор: Mayank J

Dec 02, 2017

Very very good starting point for learning all about data sciences

автор: Jhon C

Dec 19, 2016

Excellent Material and good explanations. Thanks.