It is awesome course giving detailed knowledge of Python.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Some of the questions were unclear, resulting me having to guess what the questions are asking for, and spent lots of time browsing through the forum. Understand that the autograder is necessary, but perhaps the questions could be worded more carefully to avoid unnecessary confusion.
very good course and nice teacher, I learned all the skill to analysys data set using python and pandas.
Excellent material. Admittedly I can see why there are so many negative reviews about the ambiguity of the assessed tasks. It won't be an easy course for anyone who is unfamiliar with programming. However, if you do have programming experience under your belt, you'll likely find this course strikes an excellent balance in terms of conciseness, practice, and theory. Each lecture is crafted carefully to teach you about some nuance of pandas or numpy, and the programming assignments are packed with coding questions that will help you revise what you have learned, in a very efficient way. There is very little "fluff" in this course, which is a major weakness I've seen in similar courses of its kind. Too much spoon feeding often does not challenge or engage the learner. The course is very direct about what it expects of its students. Every week there is a comment "This week's assignment requires more self-learning than the last". And true to its word, there is less and less hand-holding as you go further into the course. I thoroughly enjoyed the material and probably learned the most out of this course than any other course I've taken on Coursera, taking in to account its length.
Very clear and straight to the point, yet a bit advanced for a beginner.
It is a great course.
Prof. Brooks is great!!!!
The gains from completing the assignment itself are very large, although this process is very challenging for me who are not familiar with the Python language. Thanks for the help of the teaching assistant. It is recommended that everyone participate in the discussion while studying the course and learn the contents of the discussion. It will be very rewarding.
I learned a lot about Pandas (Dataframe and Series), it's a powerful library. However the course didn't dig enough the statistics part. Thanks
É um curso mais voltado para pessoas autodidatas pois os vídeos são pouco explicativos, curtos e com um conteúdo geral. A fortaleza do curso está nos exercícios que são desafiadores que obrigam ao aluno a ir a entender e aprender por sua conta para aprofundar nos tópicos tocados.