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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: 26,204
Рецензии: 5,454

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

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.

SF

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.

Фильтр по:

5026–5050 из 5,341 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Nel A G

Jun 08, 2020

A good high-level introduction to data science

автор: PIYUSH K

Feb 03, 2020

just the basic info about R,r stdio and github

автор: Henning

Jan 21, 2018

Pretty basic, could go a bit more into detail.

автор: Laurent r

Mar 03, 2019

Great course to begin with Rstudio and GitHub

автор: Tharindra P

Feb 11, 2020

Great course to start a data science career.

автор: Dinar

Oct 18, 2018

To easy :) but good start for the beginners!

автор: Alexander T

Aug 02, 2017

Too basic compared to courses that followed.

автор: 陈辉

Apr 23, 2017

作者没有留下详细的文档,泛泛的介绍很难给人留下印象。对于github的练习稍微有些帮助。

автор: 汪豪

Mar 07, 2016

i feel i just learn the superficial knowlege

автор: Artur B

Jan 24, 2016

Very common curse about common data things.

автор: Daniel M B

Nov 28, 2016

Demasiado básico para ser un curso formal.

автор: James S

May 16, 2016

Good foundation for the following classes.

автор: LeeKiat N

May 30, 2020

Need deep use of rstudio. Work on project

автор: shobhit c

Jun 20, 2017

not much content in compare to time given

автор: Jyunlin, W

Jul 13, 2017

SOme of the teachers' voice is too weak!

автор: Nagasastha R

Sep 08, 2017

Good walk through, could be compressed.

автор: Sayef I

Aug 03, 2017

Not very helpful. Unnecessarily lengthy

автор: SHUBHAM P

May 02, 2017

A decent intro course to Data Science !

автор: Antonio A

Feb 11, 2016

A good beginning to a promising journey

автор: Jovel J V

Apr 06, 2017

Too little information and too basic.

автор: Glendon K

Oct 31, 2017

Really basic stuff. Good, but basic.

автор: Shawky A

Aug 23, 2018

we need more explain in this videos

автор: Ashmin K

Oct 12, 2017

Good Course, but needs more updates

автор: ARUN S N

Nov 29, 2016

Basic introduction to data science.

автор: Olivier D

Oct 29, 2016

Just an introduction, not so great.