Python for Data Science

do yourself a favor and do not take this course. it is excruciatingly painful just to try to watch a 3 minutes video let alone a 20 plus minutes video, where the instructor is un-enthusiastically talking about the subject. i wrote on the forum asking for help and i never got a reply. when taking the proctor test you will need to download a software and test the software with a microphone. all of these extra steps i found annoying.

I loved this course. The instructors are very clear and there are a lot of resources to take advantage of the lessons. I enjoyed the most the live code sessions because we were able to work with several real databases.

It's a great course. I learnt a lot though I had prior Python knowledge. Instructors are great. You are also rewarded for course engagement in addition to assignments. As an audit learner I scored 70% on the course spending 1-2 hours per week.

I'm a business University student, so indeed, I was a complete beginner in the field of IT and Programming. Personally, it was a big challenge for me to complete this course, and I had to spend many extra hours for understanding and learn these new concepts. However, it was relatively easy to follow these lectures, and Python is perfect for non-programmers. I have learned so much from this course, and it motivates me a lot to complete the whole Micromaster program. I've checked other similar courses in Edx, because I would like to start a career as a Data Analyst, and I must say that this is course covers the most relevant requirements that companies expects from an employee in this field. I'm really thankful for this opportunity.

Great overview of the data science process and great introduction to Python tools such as Pandas and Matplotlib. I am now using these tools on a daily basis.

One of the best course on Python for data science. the instructors chose carefully the minimum necessary to help you through your own way to data science. I could give 5 but since I was auditing I may have missed the quality of assignments.

Great class! Key python skills + tons of well-organized information for data science. And the peer-review of the projects is the most exciting part

This course gave clear instructions on how to get started in making data science projects with Python and Jupyter Notebooks. Unlike some other courses, the walkthroughs were prepared as Jupyter Notebooks which saved me from having to stop the videos every two seconds to type out notes.

One of the best MOOCs in the world and the best course in the python for data science field. I learn from Dr. Altintas many useful and critical skills like numpy , pandas scikit learn, nltk , and more. She is very clear and explain every thing in easy and understandable way. Every thing in this course amazing and the beast thing in this course is the notebook (ipynb). there is one problem in this course which is Dr. Porter don't explain every thing he just progress and when I watch his videos I don't know why he is use this function or this method etc.. and what is the benfit of this.