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

4.7
étoiles
2,551 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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76 - 100 sur 423 Avis pour Applied Social Network Analysis in Python

par Fabrice L

23 nov. 2017

Very good class.

The lecturer is amazing!! The quizzes help you understand the concepts. The assignments are a little basic though.

Overall you learn a great deal.

par Punam P

25 avr. 2020

Very nice platform to learn & enhance skill. Thanks to Prof. and team.. Also thanks to university and coursera platform for providing such a big platform to us.

par Morgan S

22 juil. 2020

Great introductory course to graph theory! Dr. Romero is one of the most engaging professors that I've had, both in-person and online. The assignments are fun.

par Jiaqi d

15 déc. 2019

Really helpful. Get a basic idea of the social network and how to use python to analyze it. Will definitely dig deeper and see how it could relate to my work .

par Tarit G

2 déc. 2020

Excellent course to learn Network Analysis using Python. Thank you to the instructor and whole team behind making this course for providing such good content.

par Soh Y Z

16 nov. 2020

Clear explanation. Very well taught course. Will be good if the course also teaches us how to extract social network information from social media sites.

par Avulapati N

3 juil. 2020

A nice short course on Networks. This was one of the best courses I've taken on Coursera.

The course content, instructor and assignments are all amazing.

par Piyush V

29 janv. 2020

All over the course is very relevant to what is a need in industry. Very nice video lectures, to the point and crisp. Material is quite informative too.

par M J

4 juin 2018

An excellent course which is well planned and executed! If you're following the specialization, it's a welcome relief after the text analysis course.

par Lutz H

19 juil. 2019

Great course! Really well explained with intuitive examples and great illustrations. At the end there is an interesting but challenging assignment.

par Devon H

5 mai 2018

Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.

par Atilio T

22 mars 2020

Excellent course. The lecturer explains in a simple way to understand, and exercise are interested to the analysis of social network using python.

par Vincenzo T

16 mai 2019

Very good course! I was afraid going into this after going the rather bad "Text Mining". However, it was super fun, well done and informative!

par Vladimir

29 déc. 2017

A very good course to learn about networks. Thanks!

The cherry on top was to apply machine learning techniques to predict how the net evolves.

par Siyang

22 oct. 2017

Best course in the series. The lecturer managed to explain difficult concepts very clearly through its excellent slides and words. Thank you!

par Vinicius d A O

16 mars 2020

This course was fantastic, with a lot of information and tips important for me. The instructor is very focused and I have confidence on him.

par David M

26 févr. 2021

Excellent lecturer, very useful content, assignments were a good level of challenge, particularly the last one which brings it all to life.

par Γεώργιος Κ

15 mai 2018

Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.

par Suyash D

19 déc. 2018

An excellent course that provides a fair knowledge of social networks, the NetworkX package and how to work with networks in Python.

par Kueida L

3 sept. 2020

The quizzes were not giving you free points like other online courses. They were challenging. The assignments were well-structured.

par Thales A K N

8 juil. 2020

Very cool knowledge!! Began the specialization not knowing that this kind of study existed, and it was awesome learning about it!!

par Henri

19 mai 2019

Great intro to networks; last assignment is challenging but is a good opportunity to put everything together (python+ML+Network).

par MARKANTI B S

21 sept. 2020

The concept and assignment are excellent .This lectures gives good idea about usage networkx . Overall the course is excellent .

par Elias

11 janv. 2018

This is a very informative course in the property of networks and the feature extraction you can obtain out of this. Excellent

par Shiomar S C

5 nov. 2019

Excelente course, the instructor really meks you undestand with the right structure and having meaningfull in video quizes