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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: 32,337
Рецензии: 6,905

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:

5226–5250 из 6,790 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Swagatam M

1 апр. 2017 г.

Great course, you get to learn about the tools used in the Data Science specialisation.

автор: Sharad S

19 апр. 2021 г.

Sometimes the voice in the video lectures goes as if it's not even reading a sentence.

автор: Periklis D

2 нояб. 2020 г.

The course give you the first knowledge , which is necessery for the next data courses

автор: James Z

25 авг. 2020 г.

Good introduction to familiarize ourselves with some of the tools used in data science

автор: Joe K

7 окт. 2019 г.

Great! Nice foundation to help move forward in the Data Science by JHU specialization.

автор: Ryan L

16 сент. 2019 г.

Increase the default pacing. Recommending 4 weeks to install software is too generous.

автор: pravin c

21 нояб. 2018 г.

Very basic course and that was how we should start learning the ocean of data science.

автор: Lee Y L R

23 мая 2018 г.

Important course and introduction to the various tools for an aspiring data scientist.

автор: Joseph D

26 мая 2016 г.

I ran into a few unexplained issues with final project but a very good course overall.

автор: Frank N

27 мар. 2016 г.

Very basic survey and mostly just setting up software, but confidence-boosting and fun

автор: Abhishek C

28 сент. 2020 г.

Had a Great Day after getting the Certificate on COURSERA. Another perk in my Resume.

автор: Zee

27 июня 2020 г.

A very good introducton to the tools, but the GitHub tutorials could use few updates.

автор: HanWang

27 нояб. 2019 г.

The course is helpful, and material is well receivable. But not a fan to robot voice.

автор: Zhou Y

18 мар. 2018 г.

It is a wonderful introduction, and gives me a clear view of the track of the course.

автор: Jonathan A

19 сент. 2016 г.

Pretty good. Some lectures were good, a couple seemed rushed. Covered the basics OK.

автор: Alec k

22 авг. 2016 г.

Just an introduction course but helpful in setting up the rest of the specialization.

автор: Ming

6 мая 2016 г.

Experimental Design is very great. Other contents are just fundamental for beginners.

автор: MANISH K S

28 янв. 2021 г.

Great platform to get started with the toolbox required for further courses in line.

автор: Puji V

30 мая 2020 г.

it gives you the basic understanding or lays down a foundation for the later courses

автор: Jaya S G S

21 апр. 2020 г.

Know i am done with toolbox and looking forward to complete full data science course

автор: Gabriel E B

14 апр. 2020 г.

It's the basic introduction to all the tools you will use for the Data Science Spec.

автор: Tejas B

30 сент. 2019 г.

Great Into course! It's always good to get the basics right before the greasy stuff!

автор: Jack C

30 июня 2019 г.

Great course - a few grammatical/syntax issues in the quizzes but otherwise love it!

автор: Daniel M D V

18 мая 2019 г.

Very basic course to set-up the necessary tools for the specialization. Nothing more

автор: David R

31 июля 2018 г.

A good overview of the tools needed for the rest of the data science specialisation.