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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

4.7
звезд
Оценки: 2,476
•
Рецензии: 416

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

NK
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.

JL
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 406 отзывов о курсе Applied Social Network Analysis in Python

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

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15 февр. 2021 г.

This specialization is amazing!!!

автор: Guo X W

•
1 июля 2020 г.

Fantastic, well-explained course!

автор: Jose Á 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: Armand L

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28 окт. 2018 г.

Hard but instructive course !

автор: Tian L

•
24 авг. 2019 г.

a great introductory course.

автор: Ayon B

•
20 нояб. 2018 г.

Nice course. Well presented.

автор: David K

•
8 мая 2018 г.

Amazing class. I loved this.

автор: Hemalatha N

•
8 дек. 2017 г.

Good intro to using networkx

автор: Yu G

•
23 дек. 2020 г.

Great course! Easy to pass.

автор: CHAN E C

•
9 дек. 2020 г.

A very good learning course

автор: Anand T

•
7 июля 2018 г.

A bit intense, bu rewarding

автор: Ilias Z

•
5 февр. 2021 г.

It was really tough for me

автор: Fernandes M R

•
28 июля 2020 г.

This course was new to me.

автор: BITATA G

•
9 сент. 2020 г.

Enjoyed the whole course!

автор: Manikant R

•
24 мая 2020 г.

Well Taught, great course

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