As a beginner, it was bit advanced level course, more focused on theory instead of practical labs.

DId not teach much. Coding skills were too syntax-focused and less "think like a coder" focused.

Grading by peers is not very logical and productive

We don't need to wait 2 months for grading

It's too rush; wanna use short videos to explain some hard concepts, and I can't understand.

Some information on the course is not accurate, and the end of the program had lots of bugs

Exercises are poor. The quizzes are simplistic and there is not enough hands-on exercise.

The basic training on Python is good.

The IBM software training was not at the agenda.

Helpful in gaining exposure to pandas but there are many typos in the instructions.

It is good, but the title makes you think otherwise. This is an intro to python.

If I did not learn Python prior to taking this course it would confuse me a lot.

It would be more helpful if there was a instructor guiding us through the work

I don't like those quizzes much. Peer review assignments are far more valuable

Course was NOT for Begginers and felt more for Intermediate level experience

very simplified course on Python. Touch on a lot of topics but not in-depth

Very, very basic. It took less than 4 hours to complete a "5 week" course.

What they teach , assignments are totally different very hard for beginners

Python should be a prerequisite for anyone wanting to learn data science.

esperaba más del curso, pienso que nos enseñaron muy poco de data science

Homework was poorly explained which made the task difficult to complete.

If the Course is free then you are asking to purchase while giving quiz

Information provided is useful, but the production quality is terrible.

The course is not very fluid and becomes overwelming by the end of it.

Videos are terrible, much more useful to just read the proposed labs

This course could have been more detailed and with better exercises.

The course material was not good enough to complete the assignments.