Ratings and Reviews for Introduction to Data Science in Python

Challenging, and some of the questions were poorly/wrongly worded. But the exercises were good practice, and manageable with some programming experience.

This course of data cleaning is very good. But the tips provided are very high level. It is not easy for a beginner to reach the assignment expectations. I encourage to provide more depth in data manipulation techniques with examples.

This is a very nice, structured organized course to start on empirical machine learning.

Very well constructed course. Admittedly, there is a pretty big gap between the content in the lecture and what is needed to finish the programming assignment. However, I think this is by design to help learners understand the content better and to seek solutions outside classroom. Highly recommended for anyone interested in data science.

Hi Professor, Thank you so much for taking the time to structure this program. Looking forward to another great learning experience in course 2. Thanks, Neel Roshania

The content is really good, but their explanation of the topics is insanely terse; by both the professor and his graduate student. I had such high hopes for this class. I am personally able to follow the content because I have experience using pandas and only using this class as a easy way to fill gaps in my knowledge, but to the uninitiated their coverage would confuse a otherwise simple tool.

Good course

Nice course!!!

Maybe 3.5 stars, the material is good, but unless you are active in the forums (and others are as well), the assignments can be frustrating to complete.

A very good course. Excellent introduction to pandas, in particular. Auto-grader could be improved, but it is great to get instant results, rather than waiting for peer grading.