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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: 31,330
Рецензии: 6,661

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:

5226–5250 из 6,521 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: B C H K

2 февр. 2016 г.

Good course to start your basic understanding of Data Science.

автор: Vikki G

5 авг. 2020 г.

Very good explanations but quite basic so good for beginners.

автор: Abdul H B

23 июля 2020 г.

Well structured but basic

The robot voice is a little annoying

автор: Panchal R J

22 мая 2020 г.

Nice course for starting with the tools used for Data Science

автор: Jonas M R

2 дек. 2019 г.

Un buen curso para empezar a adentrarse al mundo de los datos

автор: Matias C

17 окт. 2019 г.

Quite useful for learning the basic toolkit for data science.

автор: Sara M

25 янв. 2019 г.

Great introduction to programming software for Dara analytics

автор: Alexandre S N

16 авг. 2018 г.

Great course, but it still can be improved! It is too simple!

автор: ritu r

26 июня 2017 г.

Course was as excellent insight onto the 9 courses to follow.

автор: Pratap N

17 дек. 2016 г.

One of the best course to get into the field of Data Science.

автор: Marion H

21 авг. 2016 г.

Good course for a first contact with the Data Science world !

автор: Faraz R

13 июня 2016 г.

Overall this is a great introductory course to Data sciences.

автор: Thomas H

17 апр. 2016 г.

Good start but not very hard if you already programmed bevore

автор: Kehinde A

19 янв. 2016 г.

Great course, nice ease into the Data Science specialisation.

автор: Kamelia H

6 июля 2020 г.

Some Interfaces especially Gihub has changed , please check.

автор: Christopher H N

11 июня 2020 г.

Some of the material seems to be from an older version of R.

автор: GUIRONG L

22 июня 2019 г.

Great course to start learning knowledge about data science.

автор: Márcio S

11 мар. 2019 г.

É uma ótima introdução, mas faltam mais exercícios práticos.

автор: April M

26 мар. 2018 г.

As a new learner to data science, I find the course helpful.

автор: Brian W

7 июля 2017 г.

Very good introduction to each course of the whole program.!

автор: Guido F I

17 февр. 2017 г.

Simple introduction to the tools used in the specialization.

автор: Adilson V C

19 дек. 2016 г.

Nice course. Clean information e right forward on necessary.

автор: Arun A

20 окт. 2016 г.

Very informative and the course begins with very basic stuff

автор: Michael A G

6 окт. 2020 г.

This was a good basic, introductory course to data science.

автор: PANKAJ K S

18 авг. 2020 г.

this course is much helpful in knowing the R and the github