A very nice manner of teaching where lecturers used a variety of real-world examples which made hard things easier to understand.
I have learned basics of python language including data types and syntax, core features of pandas, seaborn and numpy libraries. Recalled for myself statistical principles and approaches.
Besides all of this, there are a lot of fun :)
Ratings and Reviews for Understanding and Visualizing Data with Python
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half of week 4 is almost a trash
Has a lot of theory, so any non statistics student can go along with it. Statistical theories are explained very well with a lot of references and cool website, articles and link. If anyone wants to get the most out of this course he/she has to spend time learning to code by himself.
Light-hearted but fairly rigorous. Material is well explained and examples are compelling.
I recommend this course to all the data science enthusiast and request to understand precisely the intricate details of this course.
good course
This course is very good for the people who are not from programming background as everything related to the concepts is very well explained (with programming support) throughout the course
It is quite an intensive course and would remain my reference after I complete it.
Very informative course! helps you increase your depth of knowledge in Statistics. Would highly recommend to any aspiring Data Analysts and Data Scientists.
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