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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

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8,378 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

AS

Nov 22, 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.

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

筛选依据：

501 - A Crash Course in Data Science 的 525 个评论（共 1,535 个）

创建者 Pascal U E

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Oct 29, 2018

Good introduction course of data science for excecutives

创建者 Antonia I

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May 16, 2018

Very interesting course that gives you a quick overview.

创建者 Gabriel U U

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May 15, 2018

Great course indeed! Delivered by experts in the field.

创建者 austin v v

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Apr 23, 2018

Fantastic start to what I think will be a great program.

创建者 Deepali S

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Sep 22, 2016

Very basic course, gives a bird view of the Data Science

创建者 Antonio P L

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Sep 19, 2015

Fantastic overview of Data Science avaible to all public

创建者 Kevin I

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Apr 29, 2022

Excellent introduction to data science at a high level.

创建者 Mario D

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Feb 4, 2021

Practical exercise for a non-data science professional.

创建者 Fatur P

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Sep 23, 2018

This course give you strong grasp to Data Science field

创建者 Kuhan H

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Jun 9, 2018

Good and gentle start for the long data science journey

创建者 Silvia T

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Apr 29, 2018

I enjoyed learning about Data Science. Great tutorials.

创建者 Mohit K

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Jul 18, 2017

Useful to get the overview of the Data Science Stream!!

创建者 Mirza A b

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Jan 16, 2017

Very helpful, well structured and comprehensive course.

创建者 Aparna H

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Jul 23, 2020

A good motivation to pursue data science experiments..

创建者 Arturo S G

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Jul 10, 2020

An excelent introduction to the world of data science.

创建者 Pallavi V

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Apr 14, 2020

Good course for knowledge enhancement in Data SCience.

创建者 Ganesh S

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Sep 24, 2016

Just the right knowledge that a beginner like me needs

创建者 Seong w K

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Oct 12, 2015

It's very great course for understanding data science.

创建者 Nirmal

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Oct 17, 2020

It gives a basic understanding on the clarity require

创建者 IRISH V

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Sep 1, 2020

Nice course...Gives a brief intro to data Science...!

创建者 david h

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Apr 12, 2018

excellent intro course into the field of data science

创建者 Melinda P

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Mar 31, 2018

Good overview of elements for managing data projects.

创建者 Nisha S

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Aug 25, 2017

It was simple and useful! A must-try for beginners :)

创建者 Ramanan K

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Aug 11, 2016

A very nice introduction to Data Science. Loved it!!!

创建者 Gregorio M

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Jun 29, 2018

A great overview & introduction to the Data Science.