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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: 27,577
Рецензии: 5,801

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


Apr 15, 2020

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.


Sep 08, 2017

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:

4451–4475 из 5,671 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных


Jun 11, 2020

better experience and looking forward for more and more knowledge.

автор: Akshay N

Jan 24, 2020

Basic course. Didn't really enjoy the automated voice from Polly.

автор: Siddharth J

Jul 12, 2019

It is a good course. Can include some more topics and explanation.

автор: Waldemar T

May 23, 2017

Great introduction of subject matter. I'm excited to participate!!

автор: Giovanna A G

Aug 03, 2016

This course provides very nice and useful tools for data analysis!

автор: Thomas D

Jun 15, 2016

Succeeds in conveying course prerequisites, contents and benefits.

автор: Muhammad S

Apr 25, 2020

Great course but more stuff about R Programming makes it perfect.

автор: Anies v T

Jun 20, 2019

One instruction-video was not working, but the text was avalable.

автор: Alejandra M R

Jul 25, 2018

More instruction regarding Git on Mac would be extremely helpful!

автор: Radhika G

Jul 10, 2018

Week 3 should be more detailed . What they are trying to explain,

автор: Divya N

Jun 30, 2018

Pretty descriptive for beginners who do not have basic knowledge.

автор: Dave K

Jun 01, 2017

Great intro class. Some boring lectures if you already know Git.

автор: Ronnie D

Mar 04, 2017

Good course! Lectures are easy to follow, have good instructions,

автор: Stefanie H

Dec 09, 2016

Good course; homework exercises are not particularly challenging.

автор: Patrick S

Oct 01, 2016

Good course stuff. A little bit too fundamental for a programmer.

автор: Gaurish S

Aug 10, 2016

should contain more tutorials about Git and GitHub functionality.

автор: HuDie落落

Jul 20, 2016

It would be better if they are these practice teaching in detail.

автор: Mycal B

Mar 25, 2016

Good course, but it needs to be more difficult and more in depth.

автор: Germán A P J

Jul 11, 2020

muy bueno, pero deberia estar tambien con subtitulos es español.

автор: SUVVARI P

May 30, 2020

i have completed my course and not get my certififcate till now

автор: Raj T

Apr 25, 2020

I got to learn new things which made me do better in DataScience

автор: Abdul S

Apr 15, 2020

A good introduction for getting started as data scientist and R.

автор: kopila P

Oct 14, 2019

It's a good start for people who are really new to data science.

автор: Ying T L

Oct 02, 2018

Hope there could be more demonstrations of the use of the tools.

автор: Mike Y

Sep 17, 2017

Good starting point, tool download, etc. Like the online format