Chevron Left
返回到 The Data Scientist’s Toolbox

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

4.6
34,065 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....
突出显示
Foundational tools

(243 条评论)

Introductory course

(1056 条评论)

热门审阅

S

Oct 7, 2020

Great course content and very much informative with the different options of learning either through text or video. A good introductory course to the Data Science: Foundations Using R Specialization.

NB

Jun 2, 2017

Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.

筛选依据:

5526 - The Data Scientist’s Toolbox 的 5550 个评论(共 7,177 个)

创建者 Sameera K

Feb 26, 2019

This course appeared to have some irrelevant material, but perhaps it'll be useful later.

创建者 Philip T

Apr 14, 2016

A good introduction to the subject area. It would be nice to see more real-life examples.

创建者 Claudia Y P

Feb 24, 2016

Gives a good intro to Data Science and makes sure you get the essential tools downloaded.

创建者 Sebastián A A I

Aug 16, 2022

Bien para ser una introducción. Quizás podría ser más específico en los pasos a seguir.

创建者 Enrique O

Dec 13, 2020

Excelente curso, bastante accesible para quienes no estén en el mundo de la informática.

创建者 Kathleen B

Nov 3, 2020

Course is full of good information. The instructions could be just a bit more detailed.

创建者 Stanislav G

Jul 10, 2020

There are some parts of the course especially on week 1 and 2 that are too introductory.

创建者 michael s

Feb 10, 2020

Great course to get started with R Studio and Version control that actually makes sense.

创建者 Soumyadeep B

Jun 7, 2018

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

创建者 Deepti T

Apr 5, 2017

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

创建者 Cassandra S

May 25, 2016

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

创建者 Sara H

Nov 24, 2018

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

创建者 Ajendra S

Apr 5, 2018

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

创建者 Navroop K

Mar 16, 2018

A good introduction to the tools. Assignments are very helpful in learning the concepts

创建者 Parker C

Oct 25, 2017

It was pretty easy, but essential to the rest of the specialty so I think it was great.

创建者 Swagatam M

Apr 1, 2017

Great course, you get to learn about the tools used in the Data Science specialisation.

创建者 Humayun K

Feb 14, 2024

Everything was good, except the computer generated voice and the speed of the videos.

创建者 Sharad S

Apr 18, 2021

Sometimes the voice in the video lectures goes as if it's not even reading a sentence.

创建者 Periklis D

Nov 2, 2020

The course give you the first knowledge , which is necessery for the next data courses

创建者 James Z

Aug 25, 2020

Good introduction to familiarize ourselves with some of the tools used in data science

创建者 Joe K

Oct 7, 2019

Great! Nice foundation to help move forward in the Data Science by JHU specialization.

创建者 Ryan L

Sep 16, 2019

Increase the default pacing. Recommending 4 weeks to install software is too generous.

创建者 pravin c

Nov 21, 2018

Very basic course and that was how we should start learning the ocean of data science.

创建者 Lee Y L R

May 23, 2018

Important course and introduction to the various tools for an aspiring data scientist.

创建者 Joseph D

May 26, 2016

I ran into a few unexplained issues with final project but a very good course overall.