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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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1426 - The Data Scientist’s Toolbox 的 1450 个评论(共 7,177 个)

创建者 ABUBAKAR S M

Sep 28, 2020

The course was glamourous and the lecturers were good at it. Keep the good work, Up Coursera.

创建者 nancy a

Aug 29, 2020

I thoroughly enjoyed this course and I learnt so much. The courses were quite easy to follow.

创建者 SHALOM P

Jul 24, 2020

love the grading system and also the content straight to the point and also very much updated

创建者 Omer D

May 29, 2020

Each step was instructed to assist students with no experience. A very well organised course.

创建者 Alex F

Apr 26, 2020

Excellent course. Some parts were a bit dense but all in all, an excellent beginners course.

创建者 Natya N N

Mar 12, 2020

Easy to understand, very systematic, step-by-step are easy to follow even for non-IT learners

创建者 Marco V E

Aug 25, 2019

Very nice introduction to Data Science tool Box. Interesting to have before start. Thanks you

创建者 Magnus K

May 13, 2019

It was more challenging than I anticipated. Overall very pleased with my learning experience.

创建者 Deleted A

Apr 18, 2017

Seems like a good prerequisite course for getting started on remaining specialization courses

创建者 Sohel S

Sep 26, 2016

This is a good course for the beginner in data scientist field. Thank you very much Coursera.

创建者 Francisco J H S

Sep 17, 2016

It was easy to follow up all material and I really learn a bunch of things. Thanks Coursera.

创建者 Breno O d S

Aug 12, 2016

Excellent course !!!

I want to keep learning

You are to be congratulated!!!

God bless you!!!!

创建者 Sean W

Jun 23, 2016

Great course. Learned alot and am enthused to continue along the Data Science Specialization

创建者 Erick A

Jun 9, 2016

Excellent course, it teaches you how to install and set all the tools needed for Data Science

创建者 Nishchal S

May 17, 2016

It really help me a lot to have knowledge on Data Science, with the tools we should be using.

创建者 barak s

Apr 1, 2016

Explaining everything that needed to start the course. To the point and easy to understand...

创建者 Yana S

Feb 14, 2021

It is quite useful course that prepares you to the next lessons in the Data Science courses.

创建者 aditya s

Jun 14, 2020

The course is really great and videos include step wise step process and complete details...

创建者 Cidália E

May 24, 2020

clearly detail introduction to R. A most to understand the tools that we will be working in.

创建者 Adyta R

Apr 7, 2020

Very well designed course that is easy to learn and pickup. Thank to the team who made this.

创建者 Mayra A R D

Dec 5, 2019

Dan muchos recursos, muy claros en todas sus explicaciones. Recomiendo totalmente este curso

创建者 Victor G

Nov 4, 2018

Very instructional and easy to follow. Material is well organized and plenty of help around.

创建者 Rouholamin R

Nov 3, 2018

As a start, it was a handful of abstract and hand on tools course and I saw it really useful

创建者 Royce S

Sep 21, 2018

Great overview of Data Science. It helped me prepare my mindset for the rest of the courses.