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

4.6
étoiles
33,143 évaluations
7,078 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

7 sept. 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

14 avr. 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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6601 - 6625 sur 6,978 Avis pour Les outils du scientifique des données

par Morgan A G

18 févr. 2018

Very easy, I am unsure if this is a good thing or not.

par Rafael C

16 févr. 2017

Good course, but worth only for really basic learners.

par Vivek K

8 janv. 2017

Not really a course, should just be Week 1 in course 2

par Veli-Pekka V

22 oct. 2016

Covered basic elements of data science and statistics.

par Yusuf T

10 nov. 2021

The automated videos and bot voice is extreeeemly bad

par Mauro P

7 févr. 2018

I would like to see more practical exercises about R

par jiminkang

27 juil. 2021

An AI voice makes me hard to concentrate on lecture

par zin

26 sept. 2019

It was helpful in getting to know R and R packages.

par Smit A K

26 mars 2019

The entire course can be explained in 2-3 lectures.

par Alaa E D H

14 janv. 2018

this part is not necessary, keep it optional please

par Juliana C

25 sept. 2017

Very introductory course, give an overview of tools

par Renata G

3 juil. 2018

Good course, but lectures are sort of superficial.

par Rob L

22 mars 2018

Maybe a good basic intro course, but quite simple.

par Suhas K

24 avr. 2019

I wish there were more exercises for the project.

par Vasilis Z

16 janv. 2017

nothing special, no significant knowledge gained.

par James P

28 mai 2016

Later courses are better. This one is quite easy.

par Patrice E

23 févr. 2016

Good but needs more assistance with the students.

par Dwi N R

30 août 2020

This Course is great. but the speaker is too bad

par Xiaojun L

30 mars 2017

The git and GitHub section is not very clear....

par Rishi R

4 mars 2017

Too basic, not very informative. Waste of money.

par Vitor F M F

9 janv. 2017

The course is too short and I didn't learn much.

par Rafael L

4 févr. 2016

Quite basic, but good to set the needed programs

par Sagar D

20 juin 2016

Decent for a start. Focuses too much on Github.

par An Y

7 févr. 2016

Thought it was too easy to be its own course :)

par Nel A G

8 juin 2020

A good high-level introduction to data science