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

4.5
21,179 notes
4,227 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
Foundational tools
(243 avis)
Introductory course
(1056 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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151 - 175 sur 4,099 Examens pour Les outils du scientifique des données

par Kumar G

Mar 23, 2019

Very Good for Insight into Data science

par Praveen K

Mar 23, 2019

Great basics course

par Anatoli K

Mar 14, 2019

Интересно было посмотреть как работает один из лучших исследовательских университетов мира.

Кроме настройки программного обеспечения много узнал об основных принципах науки о данных.

Очень понравился пример с Хилари Клинтон. Возможно это был роковой момент в её поражении.

par Izhar A

Mar 14, 2019

good content.

To the point

par Muhammad Z

Mar 27, 2019

Coursera i a good approach of learning for those who want to make her carier in the field of data scientist.

par Mario S J

Mar 25, 2019

Great course!

par David A

Mar 25, 2019

Provides a good understanding of tools and environment need to do statistical analysis.

par Daniela M

Mar 26, 2019

Great Course! I really learned a lot. The Instructions are clear and the hours are doable.

par Jatin C

Mar 28, 2019

This course was very useful for me as a beginner . Thank you very much course era for proving this course.

par Lauri G

Dec 20, 2018

While this course is basic, it tells everything you need for the following ones. I'd add some more Git basics (other than read their documentation which is indeed a good point).

par Anshu S

Dec 20, 2018

This is a very important courase for the basics of all the software, tools and concepts regarding Data Science. I learned a lot with this course and the lecture is quite sufficient for the basic of it.

par Ed D

Dec 04, 2018

Good inputs on the introduction of Data Science!

par Nikhil J

Dec 04, 2018

Great Study Material.

par Zou Y

Dec 04, 2018

The course gives us a brief introduction on some really useful tools. Thank you.

par Akshay N

Dec 23, 2018

Awesome!

par Greg V

Dec 23, 2018

This was a great first and foundational course to the Data Science Specialization. The lectures and course materials were very clear and the being my first course on Coursera, it was a great introduction to Coursera as well.

par 何

Dec 07, 2018

Good Tutor!

par Deleted A

Dec 06, 2018

Amazing intro to the basics of data science and tools used.

par Stacie B

Dec 05, 2018

Great foundation. I was able to crank through it fairly quickly (I have a Unix background). I'm excited to go through the rest of the Data Science Specialization.

par Wenyu Z

Dec 06, 2018

great lesson

par Diego G L

Dec 06, 2018

Good Intro to Data Science and the program to follow.

par TARUN S N

Dec 08, 2018

very useful

par Nadim D

Dec 08, 2018

Great course

par Lakshmi N B

Dec 10, 2018

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par Kurt R

Dec 10, 2018

Great intro to R programming and Git/Github.