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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

This course provided a brief introduction to using Python for data science applications, with a strong focus on pandas method. It is well-suited for students with some background in Python programming. The assignments are rather challenging. It would be great if there are more in-video questions to reinforce our learning and prepare us for the assignments. Working with the autograder required tremendous patience. It would have been a better experience if there was test code to help us debug our errors. On the whole, I benefited from this course, but I must point out that successful completion of the assignments required a lot of independent learning and patience.
Well, the course is good if you are going for complete specialization.
One of the best courses along with a highly capable instructor. Very helpful teaching stuff and discussion forums. However, an assignment asked for the mean of a value but produced wrong answer for mean and showed right answer for sum. This needs to be reviewed. Also, many assignments need better clarity.
Even though, the title of the course is "Introduction" but to pass the assignment is quite complex and require a lot of understanding. You have to deal with struggling in Data in real life, such as unclean, remove header, unnecessary information in text etc. which is the most difficult part of processing the data. I think this is a excellent course to learn how to deal with the data but will recommend it for the people who has quite strong background in programming. The first chapter is simple but do not overconfident. The second chapter can be very difficult to process data and get to know how to deal with dataframe. Once you uses to how to use "Jupyter Notebook", it will much easier though the rest of the course.
this is the great learning process and very well planned questions
this course is very useful to me
The course gives me an overview of Data science and Data visualization. However more explanation on the statistical topics would be more helpful .
it gives me the overview of data science , data analysis and data visualisations
the teaching materials provided by christopher is too brief. can be improve by more elaboration.
It was an awesome experience

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