Many mistakes in the slides and poorly defined problems in the assignments have gone uncorrected for over a year. The content is very basic, as would be for an introductory course, but can even serve as a refresher for CS graduates.

Quite interesting subjects, but video material is not of high quality and many mistakes are not changed in later sessions but altered via a text in the screen of a note on the next sheet.

The start is very "dry" lot's of information about what Data Science is. You cant start with the first assignment, because the script and tutorial is outdated. It simply doesnt work

The course is good. But it does not has lecture slides that is better for students to understand.

boring and easy, the homework is too easy and not well designed

This course totally reminds me of some courses back in college: unorganized material and the assignments are unrelated to the tutorial. The assignments themselves seem to be very helpful but the tutorials did no help of achieving these assignments.

I had a hard time following the instructor despite that I've completed all the certificate for python from University of Michigan. I'm aware of my background of python is still not strong enough so I thought it's probably just me not able to learn it fast enough.

But then I watched the tutorial about SQL. As a data architect / ETL developer, SQL is something I'm familiar with and use it everyday and then I realized that the instructor couldn't explain a nested query well. The reason I was able to understand about the SQL part is because I already know.

Lost in details. Professionals(btw I hold a MSc degree in Computer Engineering) cannot get anything from this. What is the point of writing frequency.pl where there is a hist() function in R? If the instructor is trying to teach us how to program in any language, then I can assure you the data science class is not the right place. I recommend the instructor check ESSEC Business School for analytics subject to better comprehend the Coursera and its goals.

The assignments depend on an obsolete version of Python; it would be simple to update the course to use a version of Python that was easily available. I am having difficulty setting up a machine, real or virtual, that will let me complete the assignments, or even just installing Python 2.7 on my usual machine. Rather than go through a lot of hassle against a deadline, I'm just going to set this whole idea aside and maybe just read up the topics on my own.

The course info makes no mention of Python as a prerequisite. Yet the first assignment demands Python knowledge and skills. Without which you can't pass the assignment. Yet the week's lecture is not about Python.

The instructors do not respond and they provide computer programs that do not work. They are aware that there are issues in the programs but have done nothing to remedy the issue.

Has not stayed on top of changes to Twitter API, forums are not useful, and still uses Python 2! This course badly needs to be updated and is not usable in its current form.

Th first three classes are very 'thin' in content and the assignments are easy. The fourth class is basically optional and it has TONS of content. What's the point?

This course is very out of date. The assignments need to be updated to address changes to Twitter API and Python.

I strongly recommend you move this course to a platform better than coursera.

Outdated, unintelligibly exercises, terrible lectures.

Poorly designed videos, too long and confused

very poor!