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

4.6
étoiles
26,493 évaluations
5,527 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.

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4001 - 4025 sur 5,408 Avis pour Les outils du scientifique des données

par Jordi A B

Feb 10, 2016

It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.

par Venkata R S R

Mar 20, 2020

The videos voice is a little different but overall the course content and explanation is very good.

par Kevin H

Jun 29, 2017

Certainly informative and set up very well. There wasn't a ton of content. This is a prep course.

par Priya D

Feb 03, 2017

Very thoughtful and well-executed course. Although, one of the professor's voice is not very clear.

par Cristina P

Jan 10, 2016

Very easy going, but I think week 3 has much information, maybe a step by step toturial might help.

par nikhil

May 01, 2020

This course has enabled me to further extend my capabilities to become an aspiring data enthusiast

par Loga S

Apr 10, 2020

I love everything in this course except the robotic voice. Atleast some good robotic voice will do

par Jim L

Oct 19, 2017

Very very basic, but will get you set up from what I imagine is the more strenuous work to come...

par Ben G

Nov 07, 2016

Good course for an introduction, the next course in the data scientist specialisation gets better.

par HU Y

Jan 15, 2017

It's the basic introduction courses for data science and it's good, we can learn a lot from this.

par kailash D k

May 06, 2020

It helps to clear the concepts which are not given clear in other platform this helps to improve

par Mohammed A A E

Mar 31, 2020

Not a very detailed course and very tough one, needs you to read a lot outside to fully grasp it

par Alexandre

Oct 30, 2018

Good introduction for real beginners. Someone that studied in the field would already know that.

par José G

Oct 14, 2017

An excellent course, however I found the organization of the different subjects a bit confusing.

par Avinash A

May 14, 2017

Contents are precise and well explained. For extra knowledge, you can always search on internet.

par sai

Feb 01, 2017

Pretty helpful . But 4 weeks is an awful lot of time for the content being taught in this course

par Shuwen Y

May 22, 2016

Great intro. Too bad you need to pay in order to get quiz answer or statement of accomplishment.

par chintamani M

May 04, 2020

very good course with strong focus on building basic foundations and making concepts very clear

par Pritam D

Jun 05, 2019

I was having a problem with quiz 1 of week 2.

otherwise, the overall course really benefited me.

par sarvesh p

Oct 16, 2017

It is a well made course. A bit basic for my liking. The content on Github was a bit confusing.

par Miguel B

Dec 19, 2016

Simple and very straight forward, I belive this is the best way to give a starting point course

par Lixian

Jun 05, 2016

I is not so difficult for a beginner, but I suggest it could be more information in the course.

par Aayush A

Jul 03, 2020

The robotic voice is kind of uncomfortable to study with and the captions are sometimes wrong.

par Justin K

May 26, 2020

The instruction is clear and easy to understand. I wish there was a way to move faster though.

par Giulio P

Dec 26, 2018

A good start into thinking lile a data scientist! Lectures are well thought-out and organized.