Ratings and Reviews for Introduction to Data Science in Python

assignments were interesting as it required individual learning which led us to research on stack overflow and the pandas doc. Also the discussion forums were helpful.

I would not recommend this course at all. I cancelled after week 2. It is framed as an intro to data science but the teacher often packs too much information into each video without taking time to properly explain underlying concepts sufficiently. The exercises often have issues in datasets that are not linked to current lesson which makes it confusing to follow along and you can spend hours searching forums to find solutions. In addition, the course does not give sufficient insight in videos to help you with questions. You have to search stack overflow and other sources to work out answers. Whilst this is reflective of real life, for an intro course which is how this was framed, it is difficult for someone new to data science to master a concept whilst trying to solve for other non related issues searching the web.

Assignments are complex without much practice questions during the course otherwise course is fine.

I found this course terribly bad and was the worst experience I had in Coursera. The instructor, rushes through few minutes of video explanations and then it is basically a learn everything by yourself by reading the panda documentation. If I wanted to learn things by myself reading the panda documentation, I wouldn't have taken the course! Like someone else mentioned, I registered the course to learn things systematically and save time! The assignments require us to do things in panda which where never explained in the lectures, nor it was explained how to do them efficiently. I managed to do everything through hours of research, but I'm pretty sure there are better, more efficient ways to code the assignments but these are not taught, the assignments provide no feedback and the forum too hard and time consuming to search for those answers! So what I learned was that I could either spend hours and hours cleaning the data store in Excel files in panda or few couple of minutes directly within Excel. Because the course is mainly a do everything yourself, it totally failed to show me the power of panda as a powerful tool for data science.

very good course

Quite tough for non-programmers, but definitely a good intro into data science with python.

Thank you for educating and expertising us in new topics through this course

The class is mostly problem set focused with no feedback on what makes for good pandas code beyond it getting the correct result. Not a good resource for learning the pandas library. Very little teaching.

It was the worst experience I had in coursera. The video content is too general and has little connection with assignment. The assignments are challenging but poorly organized. Students are encouraged to search and self-learning, which is irresponsible and inefficient. I register the course to learn things systematically and save time! I spent about 8 hours on searching desperately for each assignment. My passion for Python and Data Science almost disappear. The version of pandas used in this course is 0.19.2, which is not convenient for using some functions. The assignment is not explained after grading. I had no idea about how well my solution is and whether there is a better way to do it. (The forum may be useful, but it took too much time for searching suitable answers) I have learnt Java before and had little experience in Python. Maybe it's the reason for the longer commitment on those assignments. However, as a former teacher, I do suggest some improvements on the pedagogy in this course and take more responsibility for the students.

Content is just amazing - provides the student enough knowledge so that you can research / google on your own.