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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: 7,429
Рецензии: 1,411

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

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.

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!

Фильтр по:

951–975 из 1,380 отзывов о курсе A Crash Course in Data Science

автор: Dhruv D

4 мар. 2019 г.

Some minor technical issues, but the course was informative as a quick introduction to the subject and the course content was engaging.

автор: Evaluation R

20 дек. 2019 г.

The presenters talked so quickly I had to watch the videos 4 or 5 times to catch everything. Other than that, great into to the topic.

автор: Ebony H

2 июля 2018 г.

The questions on the quiz for the secrets of success to not align with the section taught. Overall decent to understanding the basics.

автор: Ramaswamy V

14 апр. 2017 г.

The course can be described as the first hour lecture by the professor. It introduces students to data science, its uses and pitfalls.

автор: Mathieu D

17 окт. 2018 г.

Good summary, good overview. Good to go over the basics again! Could be a bit more thorough on some methodologies out there, however.

автор: Bart v d G

26 нояб. 2017 г.

Good overview of data science concepts. Uses quite some terminology that could be better explained and it is (off course) very brief.

автор: Bhagyalaxmi B N

26 мая 2020 г.

Successfully completed this course. I really enjoyed learning with coursera site. I hope this will help me achieve my career goals.

автор: Usha R V

26 февр. 2018 г.

Excellent Course.With in Short time i have understood what is Data science and its core functionalities.Excellent Teaching faculty.

автор: María d R O M

3 июля 2020 г.

Te da un panorama general sobre la ciencia de datos; en algunos temas, sobretodo en los quizzes, utilizaron términos muy técnicos.

автор: Yichen N

13 мар. 2017 г.

Very useful introductory course to help you get familar with different fields in data science and typical data analysis procedures

автор: Alejandro G d C

5 сент. 2016 г.

Information is well presented and keeps a good pace. Quizzes could be improved.

Additional material is very good and interesting.

автор: AASHANA K

25 мая 2020 г.

The course is very good for a fresher like me who wants to learn about data science.Thanks to all the teachers for this course.

автор: Charissa B

2 нояб. 2020 г.

Helpful intro and overview to help those in an executive position who need to catch up real fast to the world of data science.

автор: Fahad S

29 июня 2018 г.

Good course but could have some more information. I was expecting getting more from it as suggested by the name of the course.

автор: Nuno P

18 авг. 2020 г.

Good high level Data Science course which may take not much of a couple of hours to acquire and recall Data Science concepts.

автор: Paul M

26 мар. 2018 г.

I probably needed a bit more background in data science before taking this course, but it was easy to follow all the same.

автор: Nguyễn T M L

17 мая 2020 г.

This is a systematic course to introduce Data Science to complete beginners. This provides great information and insight.

автор: Weihua W

30 дек. 2015 г.

Advises are really good. The course charges too much! A one week course should set a reasonable price, for instance, $19.

автор: Mohammad S R

13 сент. 2017 г.

An engaging course for beginners who need to answer the important question i.e. Is Data Science a field of my interest ?

автор: Anders R K

24 окт. 2015 г.

I really liked it. Some of tje jargon was a bit technical though. But overall really appriated the opportunity yo learn,

автор: James M

9 нояб. 2020 г.

Test questions seem haphazard and do not appear to be validated. It feels like they are written by a bad AI algorithm.

автор: Ajayeswar R

16 янв. 2019 г.

this course is not-technical as I was hoping for.This is an overview.But it was presented very beautifully.

Thank you

автор: Lai Y W @ L Y W

13 авг. 2020 г.

Easy and straight to the point undamental basic information for non data science background executive. Good course!

автор: HUIYAN Z

18 дек. 2016 г.

Very basic introduction to data science. The class is well-organized and suitable for new learners of data science.

автор: Stanisław R

6 сент. 2018 г.

I would call it Overview of Data Science. It puts Data Science in perspective of other fields, but is too shallow.