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Avis et commentaires pour d'étudiants pour Applied Social Network Analysis in Python par Université du Michigan

4.7
étoiles
2,550 évaluations
430 avis

À propos du cours

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....

Meilleurs avis

NK

2 mai 2019

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 sept. 2018

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.

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126 - 150 sur 423 Avis pour Applied Social Network Analysis in Python

par Aaya A

21 oct. 2021

Very good, clear lectures, with assignments that actually test application of knowledge learned

par Landon M L

24 oct. 2017

Good instruction because the explanation with some good examples that improve my comprehension.

par Wenlei Y

23 nov. 2019

This course really opens my eye, providing a new standpoint from which we visualize "network".

par Ivan S F

2 juin 2019

Very very good course. It provides a brief but comprehensive introduction to network analysis.

par Rongshun Z

21 déc. 2021

A​ very good combination between ML and the practical usecases. Thanks a lot for the course.

par Benjamin R

9 juin 2018

Very good insights into social network analysis. I particularly liked the final assignment.

par Rocco C

9 oct. 2017

Very interesting course, thank you. The assignments could have been a bit more challenging.

par Long T B

27 oct. 2020

I really appreciate Coursera for offering this course. It is very valuable to my research.

par Estella C

30 juil. 2020

Very practical course! Explained all the concepts very clear and with meaning examples.

par David T

4 janv. 2021

I enjoyed the classes in this specialization. I felt that I have learned a great deal.

par Parikshit A D

3 mai 2020

Best Course I have seen, learnt a lot about something to which I was completely new!!!

par Мирзабекян А В

9 août 2018

One of the most interesting and challenging courses in specialization, in my opinion.

par Hiroki U

30 nov. 2020

Assignment of week4 was tough, but interesting.

Thanks for making such a good course.

par Reed R

2 mars 2018

Well taught and in a field which is not covered by many other data science curricula

par Rajesh R

7 févr. 2018

Excellent course to understand various networking principles and analyszng the same.

par Carlos S

8 oct. 2017

Great introduction to network theory and applications using Python Networkx library.

par Krzysztof K

5 nov. 2020

Very informative and useful content was presented in very easy to understand way.

par Ricardo J M S

1 juin 2020

It is the best course of the 5 courses of the specialitation. I strongly recommend

par Ferdinand C

13 août 2020

Brilliant instructor! I really learned a great deal from this course. Thank you

par Nicolás S

3 janv. 2021

Nice topic to learn! Good materiales and tools were providade in thsi course

par Vighneshbalaji

28 avr. 2020

Very Useful. I learned a lot. Thanks to Coursera and University of Michigan

par Chanaka S

1 août 2020

Lecture is God To Me The Person Who has Good Knowledge then easy to study

par Amila R

30 sept. 2019

Good starting point for those who want ro learn social network analysis.

par Roberto L L

26 mars 2019

It was a wonderful course, linked network's models and machine learning.

par 高宇

2 déc. 2018

Very Nice Coursera! It lead me to reknow the relations among the worrld.