Ratings and Reviews for Introduction to Data Science in Python

Excellent material and assignments

Overall it is a good course, learned a lot of good things, only the overly optimistic agenda for the assignments was the problem. I had to spend much many hours than the estimated time in order to get the job done.

This course is absolutely fantastic in understanding data science by applying python programming language. Although it is quite demanding as one must be ready to be fully committed in the learning process as the lecture videos may not be enough to solve the assignments in the course.

Good introductory course, challenging to basic level and forcing to use new technics and think out of the box. Recommended for first contact with Python.

Overall is good but the contents seem to be a bit difficult and too rush.

I really like the lectures. They are fast paced, full of useful information. I also like the design and intentions of the assignments. They really help enhance the learning. I love the required reading too. It really expands your vision from a course to a much bigger world. My gripe is mostly on the lack of attention to details for the assignment questions. There is a lot of ambiguity there. Forums and tips helped, but I would rather they spec out the questions in the first place. I hate to guess what the auto-grader want. All in all, it's a very good course!

Excelente curso de introducción! Gracias!

fantastic

Introduction to Data Science in Python is a nice introductory course to jumpstart your career in the field of data-science while working with python. The course assumes you have basic knowledge of python programming including its syntax and semantics. Later, the course quickly dives into topics like list comprehensions, lambda expressions, numpy arrays, pandas series/dataframes. Most, of the common tasks involved in the field of data-science such as data cleansing, data analysis and manipulation are thoroughly covered in this course.

Great introductory course to using python for a (more or less) full data science project ! Of course much more can be done, but this course serves as a good intro Numpy, Pandas and some basic statistical operations from SciPy that build a solid foundation for expanding on the data science process in other courses.