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The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック

4.5
20,950件の評価
4,186件のレビュー

コースについて

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....
ハイライト
Foundational tools
(243件のレビュー)
Introductory course
(1056件のレビュー)

人気のレビュー

LR

Sep 08, 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.

AM

Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.

フィルター:

The Data Scientist’s Toolbox: 126 - 150 / 4,057 レビュー

by Carlos A M O

Mar 13, 2019

Very good course

by Moshfiqur R

Mar 13, 2019

excellent.... course to enter data arena....

by Igors K

Mar 12, 2019

good tool tips but with some hard to make SSH and pull not working downloaded github desktop and take projects from RStudio and pull, using github desktop maybe add some tips for this program because to some person it will help like me, every have diferent PC and language.(Searched google every writing about some space not about solving problem)

by KULDEEP S

Mar 13, 2019

still required in depth concept about github.

by Anthony H

Mar 13, 2019

The course offers a practical and simple explanation about introduction into Data Science

by Ross D

Mar 13, 2019

I was already familiar with R and RStudio and found the portion on using Git/GitHub particularly helpful.

by Albert Y

Mar 17, 2019

This was fast-scinating and helpful! Sending all the love for Coursera Team.

by Ловягина Ю А

Mar 18, 2019

I

by Abdullah B B

Mar 17, 2019

This course is about the what you need to be capable of to become a Data Scientist and it may seem that it is too basic, but you can't just build a house without having the right ground.

by John N

Mar 18, 2019

Overall great starting course!! I feel that it would be better to have someone to lecture to you instead of a voice machine.

by Shubham S P

Mar 19, 2019

wowwwwwwwwwwwwwwww.just awesone

by Sara R

Mar 20, 2019

I thoroughly enjoyed this course and its challenges

by Asif H

Mar 20, 2019

A mandatory to keep you on Data Sceince Track

by tushar g

Mar 19, 2019

Thank You Team Coursera

by Christian L

Mar 26, 2019

Great overview course, work load is light, following courses make up for it!

by Amy B P

Mar 26, 2019

This course provided a good introduction to R Programming and Data Science which was very useful.

by Dheeraj K

Mar 21, 2019

It is a nice course, week 1 is quite tough.

So i would recommend going through week 2 if you are stuck there.

Hope to see everyone make it to the end.

by Ajinkya N

Mar 22, 2019

Its great start to learn Data Science.

Concepts explain in each lecture are very good.

by Radoslaw S

Mar 21, 2019

Good intro to set up R and Git Hub

by Rafael M S B

Mar 22, 2019

An useful introduction to Big Data, R and RStudio. You don't need to know how to code.

by LiuGuangyuan

Mar 22, 2019

VERY GOOD

by Abhinav M

Mar 22, 2019

Easy to learn and follow, definitely would recommend to anyone wanting to wet their feet in the ocean that is data science

by Andrea A

Mar 22, 2019

As a person who had no idea on this matter, I learned quite a lot. It was easy to understand and to follow instructions.

by Kumar G

Mar 23, 2019

Very Good for Insight into Data science

by Praveen K

Mar 23, 2019

Great basics course