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学生对 Johns Hopkins University 提供的 A Crash Course in Data Science 的评价和反馈

4.5
8,327 个评分

课程概述

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...
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Basic course

(76 条评论)

Well taught

(48 条评论)

热门审阅

LL

Dec 24, 2015

Highly Enlightening for those who just beginning to learn data science,The courses are very detailed and well organized,All the aspects of the data science are introduced in intriguing mannerThank you

SJ

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.

筛选依据:

951 - A Crash Course in Data Science 的 975 个评论(共 1,531 个)

创建者 JENEETA

Oct 3, 2019

good

创建者 Bommannagari M

Mar 30, 2019

good

创建者 kailas s

Jan 15, 2019

good

创建者 AZLIN B R

Oct 1, 2017

Good

创建者 Khoo W Q W

Jul 16, 2017

Good

创建者 Fhareza A

Sep 14, 2020

wow

创建者 Yousef N M A ( O - G A

May 15, 2025

.

创建者 CHIRAG L

May 19, 2021

G

创建者 Tunga L

Jun 12, 2020

E

创建者 Jyoti S

Apr 21, 2020

S

创建者 Bidyuta P P

Apr 3, 2020

g

创建者 Mervat I S

Mar 16, 2020

ش

创建者 Ye M Z

Oct 5, 2019

G

创建者 Naeema B S

Sep 4, 2019

M

创建者 Naveen S

Jun 26, 2019

r

创建者 Nam C S

Oct 16, 2018

V

创建者 Debra O

Feb 25, 2018

G

创建者 Manas K K

Dec 30, 2017

E

创建者 Darija J

Nov 19, 2017

G

创建者 Debadyuti S

Oct 9, 2017

R

创建者 Kari J

Apr 18, 2017

G

创建者 Scott R

Oct 10, 2016

B

创建者 Deleted A

Oct 19, 2015

v

创建者 Heliana P

Nov 3, 2020

For someone who has no clue on Data Science it's a great overview and it gives you a sense of the field in general. I have not acquired a deep knowledge on the field, not even on the basics, just a vague summary of what it has to do with. So I suppose the title is fulfilled, as a crash course. However there are some points where I was pretty disappointed. First of all, some of the lecturers always seemed to read a script, which did not help pass down the knowledge at all. They did not give me the sense of what they were talking about and they seemed lost at some points. I had to watch with subtitles (in english) to understand the meaning of their saying. There was a lot of terminology as well... When you give a crash course, it generally means that you address an audience that has little background on the matter. A brief introduction to the terms would be really helpful. In general I think it has good potential for a short course, should the feedback be taken in serious consideration. However thank you for the opportunity.

创建者 Kristin S

Aug 12, 2023

Very useful overview course with an analytical lens. Brief summaries are excellent and serve to quickly give you the gist of the field.

The course reference book available for free download is a great asset. However, some chapters appear to be a speech to text product from the videos. There are typos and some chapters not well articulated as a written reference book. You can tell that the course is a bit dated by now (probably published around 2014). Since course has not been updated or corrections made to ensure some hyperlinks are still active, I don't give a full score . Overall it was still a great learning experience and I intend to continue with the next course in the Executive Data Science Specialization.