The course is very well structured. Teaching and links to related articles help us understand the concepts better. Jupyter notebook based python learning is very comfortable and easy to use.
Ratings and Reviews for Understanding and Visualizing Data with Python
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Reviews and Ratings
Reviews
All the content of course is good,but in week-4 it is somewhat clumsy topic.
An excellent introductory course. It handles a good way of approaching statistical programming.
The course provides basic knowledge and concepts of statistics in Python, which is very useful for someone who aims at the data science career.
Very nice Course
Great guidance and lesson videos! :) Easy to follow and I love the fact that I learnt something new here - Numpy!
Excellent course.at the end of course I have applied this ideas in my research.thanks to michegean university
This course will be the one to recommend to a lot of people like me.
Overall good but still have rooms to improve. I knew so little about statistics and Python. The concept is quite difficult but relatively new unlike other typical statistics courses offer. Practice assignments are very good but difficult. More guidance of Python libraries usage would help. Passing assignments were too easy. Strong foundations of using Python especially in libraries such as matplot, numpy, panda, seaborn would really help to better understand the concepts with a graphical presentation in Python. I would recommend this course for those who are familiar with those Python libraries already. For me, I need to learn more about those and would revisit the content here again to better grasp full understanding.
Helpful introduction to the topic
