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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: 31,510
Рецензии: 6,697

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:

5026–5050 из 6,552 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Soumyadeep B

7 июня 2018 г.

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

автор: Deepti T

6 апр. 2017 г.

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

автор: Cassandra S

25 мая 2016 г.

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

автор: Sara H

24 нояб. 2018 г.

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

автор: Ajendra S

5 апр. 2018 г.

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

автор: Navroop K

17 мар. 2018 г.

A good introduction to the tools. Assignments are very helpful in learning the concepts

автор: Parker C

25 окт. 2017 г.

It was pretty easy, but essential to the rest of the specialty so I think it was great.

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: Pravinkumar 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.