Chevron Left
返回到 A Crash Course in Data Science

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

4.5
8,374 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...
突出显示
Basic course

(76 条评论)

Well taught

(48 条评论)

热门审阅

JX

Jun 20, 2016

fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science

VV

Feb 20, 2020

I think the course design was really excellent. Though he seems like he is a nice, intelligent person, I found it hard to relate to Brian Caffo. His delivery was quite dull, and boring.

筛选依据:

1226 - A Crash Course in Data Science 的 1250 个评论(共 1,535 个)

创建者 Damo V

Oct 16, 2015

need to get a bit more specific about the tools required

创建者 Se M

Oct 5, 2015

Overall a compact course, illustrations could be better.

创建者 Raju K

Aug 30, 2020

good course.. i tested my knowledge by giving quizes...

创建者 Peter E

Apr 6, 2018

Good introduction to the terminology and basic concepts

创建者 Dharmil S

Nov 7, 2016

A good course to learn all the basics of DATA SCIENCE !

创建者 Orr M

Aug 12, 2017

A great intro to DS.

I hoped for some actual exercises.

创建者 Aime B

Aug 8, 2016

I was quite satisfied with the content of this course.

创建者 Fanick A

Jun 10, 2016

Quick and concise. A great deal of knowledge acquired.

创建者 Anmol S .

May 16, 2025

Good experience from scratch, really enjoyed learning

创建者 Samuel C

Jan 27, 2020

Great course to have a quick overview of data science

创建者 Khangjrakpam A

Jan 21, 2020

nice course but content was very shallow not in depth

创建者 Raghavendra S

Oct 19, 2018

Excellent crash course for beginners to Data Science.

创建者 David O

Jun 12, 2018

Good overview of the data science domain in general !

创建者 Kaoma M M

Feb 16, 2016

Good crash course, presents relevant concepts quickly

创建者 Gautam R

Apr 27, 2020

Need some more case stidies of Data Science projects

创建者 Meenupriya

Feb 25, 2018

More examples would be awesome for beginners like me

创建者 Betty D L C N

Jul 7, 2017

The medical examples are more complex to understand.

创建者 MAHESH S

Aug 3, 2020

the course was very intersting and more informative

创建者 Syed m s h

Feb 12, 2016

Very well organized course ..Short and to the point

创建者 Umm U B

Oct 17, 2020

It is nice to have an idea of Data science basics.

创建者 Joran K

May 26, 2019

It's short and sweet and obviously just a summary.

创建者 Elimane N

Mar 24, 2019

A very interesting course and useful for beguiners

创建者 Mikaela R

Aug 10, 2018

Really good content. Some typos in the transcript.

创建者 Edmund K

Feb 20, 2021

Super helpful coming from a different background.

创建者 Nick C

Jan 13, 2017

good starting course; information well presented.