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Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 27,473
Рецензии: 5,768

О курсе

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....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

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.

Фильтр по:

4426–4450 из 5,652 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Karla P V d O

Apr 28, 2020

I understood the reason why is a "machine voice" however, is boring

автор: Deleted A

Oct 17, 2019

Good start for someone trying to understand data science as subject

автор: Mynu a s

Aug 21, 2019

Need to explain more command and details of other option from tool

автор: Lucicleyton H d F

Jul 02, 2018

Very good introduction to the tools widely used by data scientists.

автор: Sergio V

Feb 21, 2017

Great experience so far, this is my first time in an online course.

автор: Tejaprakash S

Feb 14, 2017

course is good... need to include video on Rstudio setup on windows

автор: Abin.K.Raj

Feb 01, 2017

Excellent primer course....just the entree...harder stuff is coming

автор: Alexandros K

Oct 23, 2016

Nice intro but i think only if you want the whole specialization.

автор: Akshit A

Sep 24, 2016

A really basic course many programmers know all about this already.

автор: Yhael S J C

Jul 04, 2020

Interesante y algo para empezar que debería ser básico al aprender

автор: MORAPALLY R R

Jun 11, 2020

better experience and looking forward for more and more knowledge.

автор: Akshay N

Jan 24, 2020

Basic course. Didn't really enjoy the automated voice from Polly.

автор: Siddharth J

Jul 12, 2019

It is a good course. Can include some more topics and explanation.

автор: Waldemar T

May 23, 2017

Great introduction of subject matter. I'm excited to participate!!

автор: Giovanna A G

Aug 03, 2016

This course provides very nice and useful tools for data analysis!

автор: Thomas D

Jun 15, 2016

Succeeds in conveying course prerequisites, contents and benefits.

автор: Muhammad S

Apr 25, 2020

Great course but more stuff about R Programming makes it perfect.

автор: Anies v T

Jun 20, 2019

One instruction-video was not working, but the text was avalable.

автор: Alejandra M R

Jul 25, 2018

More instruction regarding Git on Mac would be extremely helpful!

автор: Radhika G

Jul 10, 2018

Week 3 should be more detailed . What they are trying to explain,

автор: Divya N

Jun 30, 2018

Pretty descriptive for beginners who do not have basic knowledge.

автор: Dave K

Jun 01, 2017

Great intro class. Some boring lectures if you already know Git.

автор: Ronnie D

Mar 04, 2017

Good course! Lectures are easy to follow, have good instructions,

автор: Stefanie H

Dec 09, 2016

Good course; homework exercises are not particularly challenging.

автор: Patrick S

Oct 01, 2016

Good course stuff. A little bit too fundamental for a programmer.