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
27,414 évaluations
5,750 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

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.

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.

Filtrer par :

3951 - 3975 sur 5,632 Avis pour Les outils du scientifique des données

par Brandon B

May 22, 2016

It's a good introduction to data science. However, without prior knowledge of statistics, programming, and research methods the course would be fairly difficult to follow.

par Sharraf E

Aug 02, 2020

the robotic voice got a bit annoying towards the end of the course, but overall i like the course and found it informative, cant wait to continue with the specialization .

par Willie C

Jan 22, 2020

This course is fairly rudimentary, but it does a really nice job of getting you all set up with the tools you'll need to tackle the rest of the Data Science specialization

par Hannah B

Jun 04, 2019

The part where GitHub, Git and R are connected was very interesting. However, as a fairly experienced R user and scientist, I wish I could have skipped some of the parts.

par Luis E R R

Apr 30, 2020

I found this course to be quite useful, albeit introductory. I kind of was hoping for more material. Nevertheless, for a beginner, I believe it is completely appropiate.

par Neha S

Oct 10, 2016

Good start for the beginners especially for people new to the data science. Topic are not covered in depth but as its just a introductory course so its totally fine..

par Alex B

Aug 26, 2019

Well explained, step by step instructions on how to install and use the tools

Potential to improve: use more visuals in de instructions (many times now it is only text)

par Mark M

Jul 01, 2018

Provides a good overview of what will be learned in the Data Science specialization. Good introduction to the software tools required and how to set them up correctly.

par Luis A V C

Mar 10, 2016

Basic tools for shareing and develop that right now I don´t consider usefull. In the other hand, the content is well explained so right now I new how to use new tools.

par Bhargava P

Jun 23, 2017

I think it did give a bit of an overview but I expected a little more stuff on actual Data Science and not on how the course actually works...

But good start.

Thank you

par Donovan W

Mar 18, 2018

Good for getting started, installing the necessary software. Wish github commands and markdown were explained a bit more, but that is likely done in a later course.

par Kristin A

Jun 08, 2017

A nice survey that you can complete over a weekend if you do it in a concentrated dose. It really is just an introduction, though, and it only scratches the surface.

par Calvin B

Oct 16, 2016

Started out a bit slow with material that I felt was somewhat extraneous, but then got to the good part (hard part?) of installing R and getting it working with GIT.

par Lisa P

Feb 06, 2016

This course is good if you have zero background in R and using GitHub. It'll walk you through installing what's necessary and give you basic tips on how to use them.

par Saptarshi M

Jun 12, 2020

i am little weak at understanding things when taught for the first time. so understanding and learning about toolbox was little difficult due to the computer voice

par Dr A M

May 15, 2020

It was fine, very technical in detail, but it was useful to learn about Rmarkdown.

I guess it is training from professionals how need linking to github and the like.

par Catherine K

Feb 27, 2020

Very basic course to just install required tools, so if you're familiar with github and terminal, there's no much sense in it, and you can finish it in couple hours

par Pratyush D

Apr 03, 2019

Gentle introduction to the basics. Delivered on the premise of the course. I would have appreciated more examples and practice questions to drive home the concepts.

par Daniel P

Jun 22, 2018

Great course however it was not what I was looking for. I am interested in the business management area of data science. This course seems geared towards academics.

par Raymond P

Nov 21, 2017

Short course that provides the foundation for the rest of the specialization. Helpful even for students who already have some experience with R and/or data science.

par Abhay S

May 22, 2020

The course is well written but the videos are quite monotonous. Assignments are really well. Overall a good experience. Moving towards the next course. Thank you.

par Patricia Z

Mar 11, 2018

Good introduction course! Really comprehensive -- which is really great, but parts of it can be too advanced so there are times when it's kind of hard to catch up!

par Erin R

Feb 23, 2017

The lessons were very informative and well organized. I only wish the audio were louder for some of the videos from Jeff Leek. Other than that, excellent course.

par Shalini R

Aug 01, 2020

The topic covered in "Data Science toolbox" section covers the basics of data science, Installation of R. RStudio and Git.

It is nicely done and easy to follow.