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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: 32,302
Рецензии: 6,902

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

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.

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.

Фильтр по:

5126–5150 из 6,786 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Sanidhya S

21 дек. 2018 г.

Great cousre for starting in the data science since, it contains the installation and usage of tools .

автор: Danylo K

10 сент. 2018 г.

From the begining of the course thats difficult to catch structure if you are new to the Data science.

автор: Russ L

14 апр. 2018 г.

More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!

автор: Aliaa M A

30 нояб. 2017 г.

Brief and Excellent! Content great for anyone getting into software development not just Data Analysis

автор: santiago R

30 июня 2017 г.

Nice Course. Important to have a general idea about what is necessary and also useful for data science

автор: Matthew S

5 сент. 2016 г.

great intro to stats concepts for data science and the programs. No real coding taught in this though.

автор: Victoria S

26 мая 2016 г.

Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.

автор: Saul H

8 июля 2020 г.

Really good. Just some minor issues with the automated voice and some typos. All in all great though.

автор: Nivedh R

15 янв. 2018 г.

Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.

автор: Siert A

3 нояб. 2016 г.

Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.

автор: 徐凡洁

4 окт. 2016 г.

nice course, but it would be better if the teacher can give us more details more about git and github

автор: Karthikeyan M

28 янв. 2016 г.

Interesting to know about Data Scientist and the tools. Eagerly waiting to go through the next lesson

автор: Sachin U

23 янв. 2016 г.

Very informative course. The Quiz questions however may not be necessarily be in the course content.

автор: Shanazar N

3 авг. 2020 г.

The only minus was that it was hard to catch automate sound. Except this the content is informative.

автор: Abhishek S S

25 мая 2020 г.

very nice Course for understanding basics of data science and Rstudio also help to understand github

автор: Kok H W

20 мая 2020 г.

Not a fan of automated videos. However, they provided a read-up following the videos so it was good.

автор: Omar K

26 янв. 2017 г.

The course is a nice set up for tools and environments that you need for other data science courses.

автор: Jordi A B

9 февр. 2016 г.

It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.

автор: Rakesh A K

22 февр. 2021 г.

It is helpful to grace my knwoledge and i get better knowledge from these course thank u very much.

автор: Kyaw W

13 дек. 2020 г.

Better u python instead of R programming.

and put guided for course material installing on Linux OS.

автор: Venkata R S R

20 мар. 2020 г.

The videos voice is a little different but overall the course content and explanation is very good.

автор: Kevin H

29 июня 2017 г.

Certainly informative and set up very well. There wasn't a ton of content. This is a prep course.

автор: Priya D

3 февр. 2017 г.

Very thoughtful and well-executed course. Although, one of the professor's voice is not very clear.

автор: Cristina P

10 янв. 2016 г.

Very easy going, but I think week 3 has much information, maybe a step by step toturial might help.

автор: URK17EC174 N V

30 апр. 2020 г.

This course has enabled me to further extend my capabilities to become an aspiring data enthusiast