Ratings and Reviews for Introduction to Data Science in Python

PROS: Great course to getting started with data cleaning/curation! The course makes it possible to start work in real project with Python (Pandas) when it comes to data engineering activities. The main functionalities in the Panda libs. are covered which gives confidence to continue to built skills in the data engineer/science area. The instructors responded quickly in the forums. Highly recommended! CONS: If you haven't worked with Pandas before, double at least the time estimates provided by the lecture instructors / course notes.

Good intro, with a little too much time spent on regex, but ok. Good teacher and easy to view material.

There are good explanations about Numpy and Pandas, but the assignments are unnecessarily difficult and you will require to look up more functions and methods (that were not previously explained) to finish the course. (I consider that this is an inefficient way of learning) Also, this is not an introductory course to data science in Python, it tries to cover a lot of topics with Pandas and Numpy.

It took an extremely long time to complete these assignments. In addition, I think the teaching could be improved. With the fast speaking and coding during the lectures, often it requires reviewing multiple times. And, it is never very clear what is going on in some of the lecture applications. This style of teaching is not my preferred method, but it is only my opinion.

This was my first. Hence I had my doubts on how it's going to work and will it be effective as face-to-face education. Having the course completed, now I'm very satisfied on what I gained and learnt through this course. Forums and active participation and quick responses from the instructors were a great help.

nice and comprehensive data science course for beginner

I highly recommend this course. The tutors were clear in their explanations and proposed challenges to carry out.

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

It is a very good course to learn the basics of data analysis

The only thing I suggest is to change the assigments to be more easy