Ratings and Reviews for Introduction to Data Science in Python

This course is very useful for those who have a little foundametion of python but not familiar.

Introduction to Data Science in Python is good starter course helped me to introduce to lot of concepts needed for basic retrieval, cleaning and manipulating. But I thought teaching can be little more expanded to give more detailed information. Assignments were good, but some are little complicated for the starter. I appreciate Staffing team in helping to us in all possible ways with approach and expected behaviors, validation scripts etc. Thanks to all Staff.

This course worked better as a guide than it did as a course. I learned very little from the lectures and had to do most of my learning on my own. One of the assignment even explicitly told students they would have to go learn on their own.

good one

Excellent introductory course for data analysis in Python, specifically using Pandas library. I learnt a lot in a short time. Assignments are not easy to solve, they make you think hard, explore more on internet and on user forums, thus making you grasp the topics in depth. This is the best starter course for anyone seeking a career in Data Science using Python.

the course is really precise and explained well

I appreciate this specialization's patience to begin teaching data science with such a thorough introduction to handling data in python. The lectures are concise, with 80-90% of my time time spent on the assignments. The creators of the course have a clear understanding that most of a data scientist's job is spent cleaning data, and it's incredibly important to get the practice offered by this course.

Good class challenging but fun!

The course doesn't feel complete, the information and techniques used for assignments can be found completely online through documentation and instead this is merely an exercise for doing basic analysis through documentation rather than an explanation of python through data science (which is what I anticipated)

frankly, it takes a lot of searching information on one's own, outside of this course. I raked my brains for the most of Saturday and Sunday and finished two last assigments although I still don't feel strong in pandas, neither there is much material left here for me to come back and review something step by step in a systematic way.