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

4.6
étoiles
26,447 évaluations
5,516 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.

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3876 - 3900 sur 5,391 Avis pour Les outils du scientifique des données

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 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.

par Melinda T

Mar 30, 2016

Good course. Short and sweet. Nice to be able to access future weeks' lessons and finish ahead of schedule if you wish to.

par Dr. A R

Jun 07, 2020

Amazing and very simply going course. Learnt the basics of Rstudio and GitHub in a very simple manner. Thank you organisers

par Susan S

Mar 18, 2020

Great introductory. Some of the instructions were a bit vague at times - instructions RE code could have been more precise.

par ANKIT N

Jan 02, 2019

Course is in simplified way. student can easily understand the whole course. Makers made best efforts in making this course

par Qing Y

Sep 04, 2017

The quiz is mostly so'm'ething about the history or cha'ra'c'te'ristics of R or something else. No much knowledge provided.

par Srikanth S

May 27, 2017

Was a great introduction. However, i felt, some of the lectures was very fast and i had to pause it constantly to try out..

par Yaw O

Jan 02, 2017

Quite a fast course. Material is a lot though and would be quite daunting for someone completely new to this sort of stuff.

par Ada

Nov 14, 2016

I found the way in which John Hopkins present the course, very valuable. Well structured, although the pace is quite fast !

par Luis C H

Sep 13, 2016

Maybe too easy for some people, but is ok to ensure a minimum level in order to enroll other courses in the specialization.

par Bijan S

Jan 30, 2016

Well. I don't think this could be categorized as a course. You can think of it as table of content for the specialization.

par Ankit K

May 17, 2020

good for all those who want to start from scratch, but if you know R programming then it has no use for you except GitHub.

par Kris H

Jun 07, 2019

Much of this was review material, but the structure was such that it would be effective for learning as a first-time user.

par hoo y s

Apr 24, 2016

a brief and yet organized and good resource for review old skills i have learnt and new skills that can acquire from here.