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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

Оценки: 31,920
Рецензии: 6,808

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

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.

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:

4951–4975 из 6,677 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Deleted A

9 апр. 2020 г.

I thought it was good until Week three. I found some of the directions on how to download/set up programs very confusing.

автор: Francisco J A O

30 янв. 2020 г.

Really gets me, so I renew my interest in learning new things, It´s a well implemented course to introduce you to RStudio

автор: Deepak J N

6 авг. 2017 г.

It forms the base. The examples should be recent and since its more from Bio stats etc, sometimes gets a bit confusing. .

автор: Deleted A

2 мар. 2017 г.

This is a very good introductory course for all those who are eager learn about Data Science. It gives you good insights.

автор: Carolina d C Z

27 февр. 2017 г.

Es un curso muy básico, introductorio de conceptos, herramitas como git y github, las consolas... Sólo para principiantes

автор: Yash K S

22 янв. 2016 г.

The course was nice but seemed too trivial at times of discussion about basic tools like git and command line interfaces.

автор: Jamie P

26 янв. 2021 г.

Some of the exercises were challenging to follow; however, I was able to complete after troubleshooting and researching.

автор: Muhammad M A S

10 июля 2020 г.

It was really, a helpful intro to the concepts and tools to get someone - especially if new to the field - on the track!

автор: eon t

9 янв. 2020 г.

it could be better if there is a true human being teaching instead of a female ai. it seems a little bit indifferent lol

автор: TA

20 апр. 2018 г.

This is a great introductory course and would recommend this to others who are interested in pursuing additional course.

автор: Subhajit M

28 февр. 2016 г.

Very good place to start. Tells you just enough to get started and also just enough to get hands dirty to keep learning.

автор: Michael M

21 сент. 2017 г.

Should be able to optionally select viewing the Mac or Windows installation videos.

There are no videos for linux users.

автор: Jeffrey P

8 июня 2016 г.

Good overview of the specialization. Probably very good for someone new to R and software development tools in general.

автор: Herman A

15 апр. 2016 г.

Assignments are useful, background is interesting, but meat of it is nothing you can't get from googling "Data Science"

автор: Andrés C

1 июля 2020 г.

Excelente curso. Yo ya soy usuario de RStudio y he aprendido bastante, especialmente del versionamiento de mi código.

автор: Abrantes A S F

21 окт. 2017 г.

The really great material were in Week 3. The first 2 weeks are too basic for anyone with at least some IT background.

автор: Mariela M

6 мар. 2017 г.

El curso me parece excelente, pero tuve problemas con la plataforma, me borró todo lo que hice e incluso había pagado.

автор: Babangida I B

18 авг. 2020 г.

The content of the course is quite enriching. Besides the robotic voice, I enjoy every bit of the course interaction.

автор: Kevin D

4 апр. 2019 г.

A decent survey of the material, which hopefully follows. A good but almost too easy class for such a deep subject.

автор: Parth S

25 янв. 2017 г.

Course content is good. I was able to get the basic understanding of git and github and also understood how it works.

автор: Lorenzo F

5 июля 2017 г.

It helps you to start, so installing software and so on. I recommend you to try applying for financial aid for this.

автор: Tran H H T

21 февр. 2016 г.

Slides and videos are a bit insufficient in order to finish course projects.

Apart from that, this course is awesome!

автор: Jesus V M

5 нояб. 2020 г.

Although it does not affect the learning experience, the robot voice in the videos is a bit annoying, to be honest.

автор: Mike W

12 апр. 2020 г.

Easy introductory course. Good foundational knowledge. First time using R Studio, Rmarkdown, Github. Quite helpful.

автор: Ian R

31 окт. 2019 г.

While the material is fairly basic, it is still very useful to future courses in the series. A good place to start.