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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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26 - 50 sur 4,095 Examens pour Les outils du scientifique des données

par Annina H

Aug 14, 2019

The course contents are thorough and clear, but the UI and the platform of the web course could use some thought. I find it a bit tricky to take notes and copy url's and command lines from the video. Perhaps this is just a matter of getting use to the platform. Excited to proceed to the next course!

par Paul R

Mar 13, 2019

Basic introduction for the specialization, principles of data science, and installing stuff, it's fine to get started but could get hands dirty with R more quickly. Overall the plethora of 4-5 star reviews for this specialization seem generous. You will learn a good deal but there is heavy focus on R and academics of data science (Rmarkdown, Knitr, shiny apps etc), only 3 courses (6,7,8) get into meat of statistics/regression models and ML; the capstone project is interesting but doesn't use much of this stuff, it gets bogged down in technical work with new R libraries for text processing. The material is a few years old and not being maintained, discussion forums and interest/participation feels stale. Take some time to look at syllabus and compare to other courses for what you want to learn before committing many months to this specialization.

par Erica R

Jul 14, 2019

Good overview of the ideas/concepts in data science and the set of courses coming up, but mostly seems to be a place for people to work out any issues getting Git, R, and RStudio set up before they head into the R programming intro. Very light on useful content outside of that. Definitely not 4 weeks worth of course material - can do the whole thing in a couple hours or less.

par Yue L

Jan 28, 2019

A very comprehensive introduction to data science!

par Duc T N

Jan 28, 2019

Such a great course!

par Sergio H R

Jan 29, 2019

It's good, short but effective crash course to a general idea of Data Science and this specialization.

par Supakrit N

Jan 29, 2019

Great course

par Satyaveer P

Jan 15, 2019

Easy

par Lionel M M D

Jan 15, 2019

Pretty good course to introduce the basic tools usefull for the Data Scientist

par Narasimhamurthy P

Jan 15, 2019

Good

par Mark B

Jan 18, 2019

Excellent overview course. I was much more familiar with the installation issues associated with RStudio and R.

par Ravi K

Jan 31, 2019

You are awesome Bro!!!

par Mostafa M H

Jan 31, 2019

VERY GOOD COURSE

par Meagan V

Jan 19, 2019

Excellent introduction to the basics of data science and how to get the necessary programs/materials to continue the full 10-course series

par Samuel B F

Jan 19, 2019

I learned a wealth of information in a short period of time.

par Rahul R

Jan 20, 2019

Awesome course. Will help you a lot.

par Kevin H

Jan 19, 2019

Very good starting point.

par Ana I

Jan 20, 2019

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

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 Diego B

Feb 03, 2019

Really good overview and tool box options

par Marlon L

Feb 04, 2019

A good introduction

par Praveen S

Feb 04, 2019

Very nice to start and understand the Github concepts

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 Jaeseong P

Jan 22, 2019

Good teaching, good material