Ratings and Reviews for Introduction to Data Science in Python

This is an excellent start to Python, showing the basics of lists, dictionaries, tuples, Pandas Series and DataFrames, and numpy. The lectures are concise and hit the right elements to get a quick grasp of Python. The assignments are sometimes with real-life data, which makes the course particularly engaging. During the assignments, the hands-on approach really helps a student grasp the details and delicacies of the different Python and Pandas objects. As an improvement, I would say that some of the text within the assignments could be expanded to nip any possible confusion in the bud.

very good, thanks a lot

I learned a lot from this course!

Very good course, challenging and encouraging the student to learn both from the course and by himself.

The tutorial is challenging but Sophie very likely offers help on the discussion forum. I have been coding for two years by self-learning but this course reinforces my learning and the tutorial practice did improve my skills.

Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.

Great course with amazing learning tools and a great variety of resources to take advantage from.

I really learned a great deal from this course. It opened up my eyes to this new world of big data and data science.

it's not very good

content is good, and exercise is very relevant for learning. only problem is the exercise is very hard and cannot be finished only with content covered in the lecture, you need to do extensive self learning and take a lot of time outside the classroom. for those without python experience before it is a steep learning curve.