Chevron Left
Retour à Les outils du scientifique des données

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

4.6
étoiles
27,604 évaluations
5,807 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.

SF

Apr 15, 2020

As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.

Filtrer par :

4126 - 4150 sur 5,686 Avis pour Les outils du scientifique des données

par Marco A R

Nov 16, 2016

Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos

par vishal b

Oct 16, 2016

More number of hours are given than required. Good learning for non IT field people. For people with IT background, its too easy.

par Jon b

Feb 17, 2016

A little basic, but necessary to get everything you need set up for the next classes in the series. And it does that well enough.

par Surya P T

Sep 12, 2018

Good course and it's great that Coursera has designed this course separately.

Enjoying the journey of data science with Coursera.

par Alexandra D

Jun 28, 2016

Would have bee nice if it included a bit more "in Git" tutorials, but that is easily figured out when left to one's own devices.

par Elvis M M

Jun 01, 2020

The introductory course is very helpful. Getting to know the use of Git and GitHub is very appealing and will be of importance.

par Martín S

Dec 30, 2019

Excelent, very clear. I only have problems with some changes in the versions of the programs. But fortunately I could solve it.

par A B C

Jun 26, 2017

Great content for beginners, who actually need a start about what data science is all about and where it is used all around us.

par debashis r

Feb 09, 2017

Its a good course those who prefer to study online.It gives a basic knowledge about the data tools which are going to be used.

par Fabiana G

May 07, 2016

I enjoyed the course - I wish there were more exercises, but hopefully they'll come in the next courses of this specialization.

par Matthew G

Mar 29, 2016

It covers some basics, but doesn't go deep into anything. Definitely take the other courses in the specialization to go deeper.

par xiang

Mar 17, 2016

Good courses and necessary for people like me who never have a relation to computer science,,, But it is a waste of money...lol

par Peter F

Mar 07, 2016

Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.

par Jeanne R

Jul 10, 2020

Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.

par Claudia R C

May 29, 2020

The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.

par Ashutosh A

May 22, 2020

The course is helpful to understand the basics of data analysis, big data, etc. more focus should be given to assignments in R

par Teresa E

Dec 30, 2019

This course is a basic conceptual introduction to data science and a glance at RStudio and Github. It is very easy to follow.

par Ian J A

Oct 09, 2019

Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.

par Sorasa E

Mar 09, 2019

The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.

par Stuti M

May 14, 2018

This is a short term starter for those willing to indulge in the world of data science. The course is crisp and to the point.

par Taimoor G

Mar 12, 2018

It's too easy for 1 month course.

Make it harder and make it shorter. Perhaps combine intro to R programming and this course?

par Graham C D

Dec 05, 2016

Great course to get you setup - don't expect to learn anything besides getting the correct software and file sharing profile.

par Hande K

Mar 26, 2020

Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.

par Adam D

Aug 22, 2019

Good overall. It would have been helpful to have more context or examples for the modules on version control and R Markdown.

par Travis A

Aug 11, 2016

Great course that allows an introduction into the world of the data scientist. Some instructional videos could be improved.