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学生对 Johns Hopkins University 提供的 The Data Scientist’s Toolbox 的评价和反馈

4.6
34,064 个评分

课程概述

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
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Foundational tools

(243 条评论)

Introductory course

(1056 条评论)

热门审阅

AK

Mar 11, 2020

I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.Thank you.

LR

Sep 7, 2017

It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.

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6676 - The Data Scientist’s Toolbox 的 6700 个评论(共 7,176 个)

创建者 Mantra B

Jun 26, 2020

Very Basic level. A little difficult to stay focused without having an instructor around.

创建者 Sadanand U

Aug 19, 2018

Very basic, may be a bit more use cases on Git would have been useful. But that's just me

创建者 Uian S

Nov 23, 2017

Few content for an entire course. I think this one could be together with R Programming.

创建者 Ali A F A N

Apr 12, 2020

Wasn't as good as I expected, but still I learnt from it, I can say it's above average.

创建者 Andreas L

Dec 3, 2017

I am aware that this is the introduction to this topic but it was a bit long-drawn-out.

创建者 Juan J E

Oct 22, 2017

I was already familiar with some content. it was a good starting point for may training

创建者 Craig G

Jan 27, 2017

A good intro to the tools, but for anyone with prior programming experience unnecessary

创建者 Debanjan D

May 25, 2019

Okayish course. This course will give you an introduction in RStudio and Data Science.

创建者 João P S

Sep 7, 2017

Too few activities for the time allocated. I completed this course in 4 periods of 2h.

创建者 Danyal B

Jun 7, 2017

I think the project became very confusing since no examples were done in the lectures!

创建者 Seçkin D

May 20, 2016

I think this class is best for academic people. I did not find what i was looking for.

创建者 kheman g

Aug 5, 2020

This is a very basic of the course where I learned so much about the different tools.

创建者 John Y

Jul 8, 2017

This could be wrapped into one of the other courses since its just environment setup.

创建者 R G

Jan 17, 2017

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

创建者 Ankush K

May 31, 2017

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

创建者 Drake O N

Mar 17, 2017

Good starter setup. Looking forward to the technical portion of the Specialization.

创建者 Yash D

Mar 24, 2020

the course is good but the language is little bit hard because it is auto generated

创建者 John P

Aug 23, 2017

peer review was sporadic, had to redo several assignments based on language barrier

创建者 LUIS E M H

Nov 12, 2020

Una buena introducción de los fundamentos y herramientas para el trabajo con datos

创建者 Snow L

Nov 17, 2020

This was a good intro for novices, except the automated robot voice was annoying.

创建者 João “ L L

Dec 31, 2019

It`s too introductory. The methodology with an IA voice it`s not comfortable yet.

创建者 Ivan S

Jan 12, 2016

highly recommended for newbs in any kind of development, otherwise waste of time.

创建者 Sudarshan C

Jan 8, 2016

The course was very limited, it should have been combined with Introduction to R.

创建者 Jannatul N

Jun 22, 2020

i felt like this is so robotic. and in many cases i needed to learn from YouTube

创建者 Antonio M

Dec 5, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.