Chevron Left
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: 33,156

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:

5951–5975 из 6,981 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Barry G

6 февр. 2017 г.

Very good foundation material.

автор: Erik E

21 дек. 2016 г.

Very informative, a good start

автор: Trung N T

18 авг. 2016 г.

Thank you, this is Course good

автор: Emanuele F

29 июля 2018 г.

Very good, clear and engaging

автор: Jinjie L

25 июня 2018 г.

Practical but relatively easy

автор: Rosalino Z Z

13 нояб. 2017 г.

Good content!! Very helpfull.

автор: Benedict C

12 окт. 2017 г.

It was well taught. Good job.

автор: 吴承科

28 июня 2017 г.

Very good and useful courses!

автор: Héctor R J

26 июня 2017 г.

It was good, but pretty basic

автор: Atif J

9 мар. 2017 г.

Learn quite a few new things.

автор: Robert T A

28 февр. 2017 г.

It was a good starter course.

автор: Luka K

10 янв. 2017 г.

Great approach to the course!

автор: Olcay B

2 мар. 2022 г.

It could be more explanatory


22 июня 2021 г.

It's useful and great course

автор: Shrutam S J

4 мая 2020 г.

machine voice is irritating.

автор: Felipe S

25 окт. 2019 г.

Instructive, well explained.

автор: Samoel d M

17 авг. 2018 г.

Introdutório, sem enrolação.

автор: george_p_chambers

17 мар. 2017 г.

I like the pace and content.

автор: Pol M S

31 мая 2016 г.

Very basic, but interesting.

автор: Choon K N

30 мар. 2016 г.

A good theory on data usage.

автор: Ayush A

23 мар. 2021 г.

I don't like robots talking

автор: Mrinal C

29 мая 2020 г.

Good start for data science

автор: Prakash C

17 мая 2020 г.

Nice lectures for beginners

автор: Chetana T

15 мая 2020 г.

Very good session conducted

автор: Pratik K

18 апр. 2020 г.

Great Course. Well Designed