This is the last course of the Applied Data Sci in Python certificate. It effectively ties together all the introduced concepts from the previous courses (except Natural Language Processing). Daniel Romero was an extremely effective lecturer and many of the concepts and know-how were introduced, taught, and assessed appropriately. I'm also impressed that I was able to learn a new python library I (or my coworkers) had not heard of before.
Ratings and Reviews for Applied Social Network Analysis in Python
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Reviews and Ratings
Reviews
Interesting and fun. Daniel's lecturing style is clear and enjoyable.
good teacher
i like the way that lecturer teach.
Another must to have lesson from Michigan Univeristy. After completing this lesson the Social Networks will be an analysis challenge.
Amazing class. I loved this.
Great lecturer, comprehensive material and unlike other courses in this specialisation, actually prepares you well for the assignments and quizzes.
Useful but weaker comparing to Pandas or Scikit courses.
It is really a good series, I learned a lot
Well put together. Quizzes test on material covered and assignments expand on it. There is still challenge and rigor, but it comes from understanding the concepts, not ambiguity and lack of instruction. This is one of the best online courses I've taken.