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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

This course got me started with data manipulations in Python
A lot of self directed learning, bordering on excessive. Sometimes it takes some investigation to figure out why the autograder did not pass you. Overall, I felt I learned a lot, much on my own.
This is a good introduction to Python and especially pandas for handling data. However, the course material is not very comprehensive, and you are expected to read online documentation and search StackOverflow to find answers to most of the required functionalities if you wish to finish the assignments. But, and here comes the but, this is actually how you would proceed the day you are faced with a "real" data science task, so from that perspective it is a good lesson. Also, for learners out there not wishing to pay for similar material, there are plenty of notebooks (on e.g. GitHub) that more or less contain the same (for free!). In summary, mr. Brooks does a good job explaining the material and the assignments are hands-on and well thought through.
This course brushed up my python programming skills and empowered me with pandas programming for data analysis. Looking forward to learn the visualization and machine learning specializations.
Loved the content and assignments. Learned so much! Keep up the good work.
Great course. Tasks being not precise is sometimes annoying.
thank you very much for this powerful course
Excellent course, material and instructor.
Overall a really great course with a great deal of skills and information, but i wish the coursework assignments were a little bit easier.
The material intended to be taught by this course is really good. What is missing is additional video tutorials to support the learner. I had to resort to youtube video by codebasics and other people so I could put together the required knowledge for this course. It urges the learner to do individual learning which is good, but there needs be more direction and support with educational material presented in a meaningful manner.

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