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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: 32,171
Рецензии: 6,875

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:

6426–6450 из 6,767 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Jyunlin, W

12 июля 2017 г.

SOme of the teachers' voice is too weak!

автор: Nagasastha R

8 сент. 2017 г.

Good walk through, could be compressed.

автор: Abu S M I

3 авг. 2017 г.

Not very helpful. Unnecessarily lengthy

автор: SHUBHAM P

2 мая 2017 г.

A decent intro course to Data Science !

автор: Antonio A

11 февр. 2016 г.

A good beginning to a promising journey

автор: Bhaskar M

29 авг. 2020 г.

In Peer review task, take more time .

автор: Jovel J V

6 апр. 2017 г.

Too little information and too basic.

автор: Glendon K

30 окт. 2017 г.

Really basic stuff. Good, but basic.

автор: Tijana M

5 авг. 2020 г.

Really hard to follow the lectures.

автор: Shawky A

23 авг. 2018 г.

we need more explain in this videos

автор: Ashmin K

12 окт. 2017 г.

Good Course, but needs more updates

автор: ARUN S N

28 нояб. 2016 г.

Basic introduction to data science.

автор: Olivier D

29 окт. 2016 г.

Just an introduction, not so great.

автор: Carlos G M

28 апр. 2017 г.

Puede ser más dinámico y práctico.

автор: Pravin M

8 мар. 2017 г.

Should have been in more details.

автор: Abdelfattah M

21 июля 2021 г.

It's good, but could be shorter.

автор: Catherine L

11 мая 2017 г.

I am struggling to pass my quiz.

автор: Manav G

4 апр. 2020 г.

Content for the course is less

автор: Papa Y O

9 мар. 2020 г.

It was cool, but surface level

автор: Ellen H

12 дек. 2018 г.

Already had experience with R.

автор: Manoj B

20 янв. 2016 г.

Getting started with the tools

автор: om u

20 окт. 2020 г.

the course got very confusing

автор: Jani R

2 сент. 2019 г.

This course was far too easy.

автор: Oren T

10 авг. 2019 г.

Human Interaction is missing.

автор: Pragati

2 мар. 2016 г.

Students be more interactive.