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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: 30,974
Рецензии: 6,600

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
14 апр. 2020 г.

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 сент. 2017 г.

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:

5151–5175 из 6,457 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Chong C

10 мая 2019 г.

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

автор: Yunye H

8 сент. 2018 г.

A brief introduction into data science and commonly used tools.

автор: Paul J

26 июня 2017 г.

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

автор: Olivier G

17 авг. 2016 г.

I would have liked more information and a broader understanding

автор: am

10 апр. 2016 г.

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

автор: clinton

22 янв. 2016 г.

This course is a great introductory course for data scientists.

автор: Alessandra B

1 мар. 2021 г.

os videos nao sao bem feitos, muito robóticos e nada didático.

автор: Alvar M

27 окт. 2020 г.

Very introductory but sets the path for more interesting stuff

автор: Tejas N

8 мая 2020 г.

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

автор: Mennatullah A

18 окт. 2019 г.

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

автор: Arthur C

27 июня 2019 г.

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

автор: Hemant J

4 июля 2018 г.

Thanks for helping me out to complete this course successfully

автор: Katherine A A

2 апр. 2018 г.

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

автор: Milton S

23 авг. 2017 г.

Too introductory, but useful to start with the right framework

автор: Anthony R

6 июня 2017 г.

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

автор: Ajay M S

16 апр. 2017 г.

Gave me a good introduction to basic Git and GitHub operations

автор: Sara G J

20 апр. 2016 г.

Debería estar mejor explicado como realizar el proyecto final.

автор: Deleted A

10 мар. 2016 г.

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

автор: B C H K

2 февр. 2016 г.

Good course to start your basic understanding of Data Science.

автор: Vikki G

5 авг. 2020 г.

Very good explanations but quite basic so good for beginners.

автор: Abdul H B

23 июля 2020 г.

Well structured but basic

The robot voice is a little annoying

автор: Panchal R J

22 мая 2020 г.

Nice course for starting with the tools used for Data Science

автор: Jonas M R

2 дек. 2019 г.

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

автор: Matias C

17 окт. 2019 г.

Quite useful for learning the basic toolkit for data science.

автор: Sara M

25 янв. 2019 г.

Great introduction to programming software for Dara analytics