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

4.6
étoiles
33,067 évaluations
7,061 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

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.

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.

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6451 - 6475 sur 6,960 Avis pour Les outils du scientifique des données

par Roman K

10 oct. 2017

The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.

par Bill S

12 avr. 2017

Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.

par Shawn O

28 mai 2016

Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.

par Shrestha P

18 janv. 2020

It was great to know new terms and tools used in data science. However, the course is mostly theoretical.

par Jensen K

7 févr. 2016

Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.

par Simin X

5 mai 2017

It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.

par JOHN J O G

28 oct. 2016

Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.

par Kris

20 déc. 2020

Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.

par Abdallh A

11 déc. 2019

Good course for supporting the rest of the specialization. However, it has very little use on its own.

par M S G

3 févr. 2019

Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash

par Karan A

6 juil. 2018

Course is good overall, but it could be more detailed and informative which is lacking at some topics.

par Adriana M M V

29 mars 2020

Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.

par Sourav P

29 juil. 2018

One Could have introduced the basics of R in this course..The course was too easy..Even for beginners

par Hernan G

27 sept. 2017

Es básico, pero cumple para empezar en el mundo de Coursera, espero mucho más del resto del programa.

par SOUBHAGYA K

1 août 2020

It's very very basic one.Some more topics should be added to this course.Otherwise it will be boring

par Isis G

26 mai 2022

Good course, for a general overview and tool instalation. There was some problem with some quizzes.

par Chia D

11 déc. 2019

The video content is great, but it tends to have zero relation to the content tested in the quizes.

par Deepankar G

2 juin 2016

Course doesn't seem to be of much use. Was not much informative. Only some information is relevant.

par Peter F

4 avr. 2016

It was pretty good, but most of the information is rehashed briefly in the intro to R Programming

par Pavan E

14 févr. 2016

Course was good, nice introduction to data science and its branches. There was not much of depth.

par Andrew R

12 mai 2020

I don't feel like I learned a ton from this, but hopefully, it prepares me for the next courses.

par Hrishikesh T

9 mai 2020

I didn't like the fact that the instructor didn't feel human-like, however, it felt more robotic

par Arun J

3 janv. 2019

Content is not found sufficient. Also order of the video series also requires some modifications

par Bill H

28 mars 2016

A necessary prerequisite for the other Data Science classes, but not really a standalone course.

par Nath S

7 déc. 2021

I liked it because it helped me to configured the software that I will use in the next courses.