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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: 26,493
Рецензии: 5,527

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:

4226–4250 из 5,404 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Chong C

May 10, 2019

Good for beginners, but the machine voice is a little annoying,

автор: Yunye H

Sep 08, 2018

A brief introduction into data science and commonly used tools.

автор: Paul J

Jun 26, 2017

Great intro; very basic; could have more content in one course.

автор: Olivier G

Aug 17, 2016

I would have liked more information and a broader understanding

автор: am

Apr 10, 2016

It shows the major tools to use in real life to program with R.

автор: clinton

Jan 23, 2016

This course is a great introductory course for data scientists.

автор: Tejas N

May 08, 2020

the robotic voice is the only set back but the course is great

автор: Mennatullah K M

Oct 18, 2019

I think this course is good but is not that hard as i expected

автор: Arthur C

Jun 27, 2019

Does the job to get started and makes you eager to learn more.

автор: Hemant J

Jul 04, 2018

Thanks for helping me out to complete this course successfully

автор: Katherine A A

Apr 02, 2018

Excellent for when you are starting in the Data Science world.

автор: Milton S

Aug 23, 2017

Too introductory, but useful to start with the right framework

автор: Anthony R

Jun 07, 2017

This course is a great introduction to the Data Science track.

автор: Ajay M S

Apr 16, 2017

Gave me a good introduction to basic Git and GitHub operations

автор: Sara G J

Apr 20, 2016

Debería estar mejor explicado como realizar el proyecto final.

автор: Мыров В

Mar 10, 2016

Too little information, i think course need to be a bit bigger

автор: B C H K

Feb 02, 2016

Good course to start your basic understanding of Data Science.

автор: Panchal R J

May 22, 2020

Nice course for starting with the tools used for Data Science

автор: Jonas M R

Dec 03, 2019

Un buen curso para empezar a adentrarse al mundo de los datos

автор: Matias C

Oct 17, 2019

Quite useful for learning the basic toolkit for data science.

автор: Sara M

Jan 25, 2019

Great introduction to programming software for Dara analytics

автор: Alexandre S N

Aug 16, 2018

Great course, but it still can be improved! It is too simple!

автор: Ritu R

Jun 26, 2017

Course was as excellent insight onto the 9 courses to follow.

автор: Pratap N

Dec 17, 2016

One of the best course to get into the field of Data Science.

автор: Marion H

Aug 21, 2016

Good course for a first contact with the Data Science world !