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Вернуться к Applied Social Network Analysis in Python

Отзывы учащихся о курсе Applied Social Network Analysis in Python от партнера Мичиганский университет

Оценки: 2,558
Рецензии: 432

О курсе

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Лучшие рецензии


2 мая 2019 г.

This course is a excellent introduction to social network analysis. Learnt a lot about how social network works. Anyone learning Machine Learning and AI should definitely take this course. It's good.


23 сент. 2018 г.

It was an easy introductory course that is well structured and well explained. Took me roughly a weekend and I thoroughly enjoyed it. Hope the professor follows up with more advanced material.

Фильтр по:

201–225 из 425 отзывов о курсе Applied Social Network Analysis in Python

автор: John A C

18 нояб. 2019 г.

I loved learning all about graph theory!

автор: hssni A

3 нояб. 2020 г.

very well explained thank you very much

автор: Luiz H

25 сент. 2017 г.

Great course, very informative. Thanks!

автор: Bruce M

27 апр. 2020 г.

Great course, Interesting assignments.

автор: Behzad M

19 янв. 2020 г.

Very interesting, I have learnt a lot.

автор: Dongquan S

22 окт. 2019 г.

Very well organized course. Thank you!

автор: Tina L

16 дек. 2017 г.

Good Elaboration. Very clear concepts.

автор: Esteban L C

18 дек. 2020 г.

Fast shipping. Item as described. A++

автор: Ivan

7 июля 2020 г.

Was an Intresting and awesome course

автор: chenshenyou

13 апр. 2020 г.

very nice graph training, good work!

автор: Ho C

30 мая 2019 г.

Great course with clear instructions

автор: Sangeeth S

5 сент. 2020 г.

Very interesting course! Loved it!

автор: Kristin A

15 февр. 2019 г.

A nice intro to networks in Python

автор: Victor d l C

15 февр. 2021 г.

This specialization is amazing!!!

автор: Guo X W

1 июля 2020 г.

Fantastic, well-explained course!

автор: Jose A P L

10 апр. 2019 г.

Buen curso para empezar con redes

автор: Jhon I

12 нояб. 2017 г.

I have only say, really amazing.

автор: Valikhan B

28 июня 2020 г.

Daniel Romero is a great speaker

автор: Igor K

23 авг. 2019 г.

Nice course, worth to listen to

автор: PREMAL M

24 февр. 2019 г.

Excellent delivery and content.

автор: David M

9 окт. 2018 г.

Excellent course and professor!

автор: Allyson D d L

23 февр. 2022 г.

Amazing course. I love graphs.

автор: Georges B

13 окт. 2021 г.

Best one of the Specialization

автор: Armand L

28 окт. 2018 г.

Hard but instructive course !

автор: Tian L

24 авг. 2019 г.

a great introductory course.