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返回到 数据科学速成课

学生对 约翰霍普金斯大学 提供的 数据科学速成课 的评价和反馈

7,790 个评分
1,471 条评论


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:
Basic course
(76 条评论)
Well taught
(48 条评论)


Sep 9, 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.

Aug 27, 2016

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!


1401 - 数据科学速成课 的 1425 个评论(共 1,442 个)

创建者 Jouke A M

Dec 7, 2018

Not very complete, also you need some knowledge of the field already otherwise you will be left in the dark at certain moments. Not a very consistent course. I expected better

创建者 Prashant P

Dec 22, 2015

Too theoretical, e.g, comparison between statistics and ML is not at all useful. Too many quizzes after very short classes and on topics of absolutely generic things.

创建者 Brandon L

Aug 1, 2016

Good intent but poor execution. Tries to summarize all the major topics but ends up delivering a totally disjointed, cut-and-paste experience with no real flow.

创建者 Arno B

May 4, 2017

very elementary. Takes approximately 2 hours to complete.

cannot continue with the in-dept material but have to wait until next week (and payment ofcourse).

创建者 Nellai S

Jul 2, 2017

At some places, one lesson had the text and the next lesson was redundant with part of the information on video. you could club them in one an

创建者 Abdullah A M

Oct 4, 2020

The teacher knows quite well, but not suitable for beginners. This course is for someone who is already an expert in this field.


Jul 4, 2020

This course was good but the way of information and there should me more lectures and more detail study notes for this

创建者 Dhruv W

Aug 10, 2020

The least interactive course to throw money at. The teachers used very conventional and un-interactive ways to teach.

创建者 Iair M L S J

Dec 26, 2015

too basic, the 4 courses of this specialization could be just one course.

创建者 Pulkit N

Apr 6, 2020

Was a very broad review than was expecting.Content covered is too less

创建者 Hussain, C

Oct 21, 2015

Very general course. Doesn't give much insight into data science.

创建者 Deepak G

Jun 28, 2016

Very short. Quality of the course is also not that good.

创建者 Diego V

Apr 16, 2021

too much lingo and words without clear definition.

创建者 Eduardo R L

Oct 7, 2016

1-week does not seem enough for a Crash Course

创建者 Shafeeq I

Jan 8, 2019

Not that engaging content. bit lengthy

创建者 Carlos C

Oct 5, 2015

This course is too short.

创建者 Yousuf B

Mar 10, 2017

Overly academic

创建者 Boris L

Oct 5, 2015

Very shallow

创建者 Ahmed A S A

May 24, 2020


创建者 Anastasios B

Dec 26, 2021

Quite disappointed. While I expected a high-level summary, anybody who has done basic stats in school probably knows 90% of the superficial level of information in this course. Buzzwords like "neural networks" and "random forests" appear during the course, but without even a high-level explanation of what those are. The lectures are pretty low-quality in terms of content and presentation. The most informative portion would the comparison of Machine Learning to Traditional Stats. The quizzes are pretty simple (with some common sense you could probably pass a lot of them without going through the content of the course). Completed the course in one sitting, in about a third of the time estimated on the enrollment page.

创建者 Devon M

Jul 30, 2020

There is an error in a question in one quiz. I have tried selecting each answer multiple times, and the response still comes up wrong. This is preventing me from completing the course, and the certificate, which I need to complete for work.

创建者 Edem N

Mar 30, 2020

The course, though fascinating, the only setback is the certification does not approve the learner being taught from JHU or certification being authentic which is per the information it conveys.

No incentive therefore continuing with it.

创建者 Alessandro V

Apr 22, 2016

It's too short, I think it should be a part of a course and not a course itself.

It is a repetition of concepts and examples from other courses by john hopkins univ.

创建者 Dannie L T Y

May 30, 2020

I struggled thru. Barely. This is no joke. Course description should state that minimum knowledge should have some statistic background or something like that.