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Gopala Tumuluri

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  • 2 reviews
  • 2 completed
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The team that teaches this specialization is some of the best and the most brilliant researchers in the field of bio-statistics. Their intention to offer this type of specialization, and in particular this Statistical Inference course is highly commendable. However, the content is "densely" packed into a brief 4-week course. This makes the learning experience a difficult one for people who are trying to acquire depth in the subject matter. To add to this challenge, the style of presentation is very verbose, and it is too difficult to follow the densely packed slides and the delivery without feeling stressed. I found this course to be very valuable in advancing my understanding of the subject, and working with R. There is a lot of ground covered, and I can't say much of it was "internalized." But, there are core set of concepts that really sunk in, especially through the project exercises. If someone is looking for a pedagogically charming course, the one offered by Duke is very good. I find that they both get at the subject from different perspectives, and I learned different things from both of them. Some of the negative comments of example topics (health related) are unfair. The school focuses on biostatistics and the professors are experts in this field. You can't blame them for picking examples from their field.
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I never programmed in Python, although I had prior programming experience in C/C++. This class was simply the best structured, organized and taught MOOC I have experienced so far. Content is crisp, the instructors were amazing, the build up of concepts and programming assignments was spot on. Overall, it gave me working experience with Python that I wanted in the most enjoyable way.