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Avis et commentaires pour l'étudiant pour Les outils du scientifique des données par Université Johns-Hopkins

4.5
21,163 notes
4,223 avis

À propos du cours

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....
Points forts
Introductory course
(1056 avis)
Foundational tools
(243 avis)

Meilleurs avis

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.

AI

Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

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126 - 150 sur 4,095 Examens pour Les outils du scientifique des données

par Amanda C

Jan 08, 2019

This was a great introduction to the tools of the data science trade. If you are looking to get your feet wet, this is the perfect opportunity.

par Maria F G G

Jan 08, 2019

Good summarized introductory short course

par krishna k

Jan 08, 2019

good

par JOSE L M C

Jan 20, 2019

The course is very usefull, making clear the principles of data science, and your basic tools. Instructors are also very clear in their explanations.

par Ana I

Jan 20, 2019

Great! I was completely new at this kind of work, so it was well explained!

par PINTU K

Jan 21, 2019

It is very good course it gives me new idea about data scientist

par Sasikanth R E

Jan 21, 2019

Excellent course for Data Science Program and aspirants of the Technology. Periodic assignments and follow up activities would help in mastering the subject of analytics.

par Rahul R

Jan 20, 2019

Awesome course. Will help you a lot.

par Adithya

Jan 09, 2019

helps me a lot knowing toolbox basics

par Shashank k

Jan 10, 2019

very basic course. can be done in 2-3 days if you study 3-4 hours daily.

par Jagat R S

Jan 10, 2019

I found git & git-hub tools very helpful.

par Dan P

Jan 10, 2019

Basic stuff in a way, but quite enjoyable

par Jaeseong P

Jan 22, 2019

Good teaching, good material

par Shivani M

Jan 22, 2019

Wonderful experience !

par Laura J G W

Jan 23, 2019

Very insightful and a good place to start by having an understanding of the tools involved in Data Science, looking forward to the next step which is learning R.

par Cauan B d S C

Jan 23, 2019

Ótimo curso e com uma extensa bibliografia que deve ser apropriada pelo estudante para se aprofundar mais no assunto. Um começo excelente para quem quer iniciar a carreira como cientista de dados.

par Ahmed I M N

Jan 23, 2019

It is great because it discussed the basics.

par Dongjin L

Jan 24, 2019

Such as great course

par Saeed A J A

Jan 24, 2019

nice course and his tutor

par Bryan H

Feb 08, 2019

Great Class

par Zakir U S

Feb 08, 2019

Important steps to start. Great Insights.

par Deepak S

Feb 09, 2019

Very en-lighting, thank you

par Willians B d A

Jan 25, 2019

An introductory view of what is to come and look great, first notes made! Keep up!

par yogy f r

Jan 25, 2019

Very cool course

par dilek c

Feb 06, 2019

Totally advisable for a beginner