I like the course material and the instructor. He is concise, pleasant and clear.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Great course. The course material is well-explained in lectures – although at a somewhat low pace – and I really enjoyed working on the assignments.
At the moment, a very interesting experience. It seems very similar to Matlab.
The course is fantastic. Lectures are clear and informative. Assignments are well-designed and encourage studying. Grader is not great, this adds up to frustration and reduces the overall score for the course.
Grate material.
Some of the videos are not correctly cut, making them a bit confusing at times
First of all i would say that anyone with not a strong background or not with a strong functional programming background will be in for a lot of hardwork during this course. Secondly i would say that this course helps you search documentation yourself instead of being spoon feed. This specially where i come from a teacher is only as good as much as he spoon feeds you. So the the people of the above mentioned category should definitively take this course if not to become a data scientist then to learn how does one learn at this level and that definitely not being spoon feed. I think this is a good intro to data science in general because it is such a vast field that one always has that difficulty deciding where to start.
In the course i can say it was mostly basic descriptive statistics and just one thing from inferential statistics which came in the last week's project that is the two independent samples means t testing.
So all in all if you are not strong in your statistics you can still take this course easily
Great course to learn about Pandas (python) library, or to refresh if you know it already.
Excellent course - I grabbed to increase my confidence in applying Python for data analysis. It definitely improved my coding skills. Will do next course on plotting!!
The course was engaging and challenging for beginner like me. I thoroughly enjoyed it.
Very nice Course