Awesome course material and well structured learning path. I loved the entirety of the course and hope to continue to learn more from Coursera. Thank you Coursera and also University of Michigan.

Great introductory course to python. Decent novice-level videos but great assignment quality. Definitely takes up more time than expected, especially if you aren't well-versed with python syntax.

Great material and presentation! Please work on question clarity, especially in the last project. With as picky as the grader is a little extra specificity would have saved me a few false starts.

The shared files we can access in the Coursera lab are all very useful for practicing our coding skills. For anyone who is taking this course, do not forget to make use of all the files there ^^

This course provides excellent instructional videos, comprehensive materials, and real-world data manipulation and analysis using Python. One of the best values for the buck in online training.

Christopher Brooks is amazing. He kept all the lectures simple, straight to the point and maintained a good pace throughout the course. Good start to the specialization course. A long way to go!

Great course. It requires a lot of independent work and, personally, I find this great. This helps you know even more information about Data Science and Python as well as acquire good skill set.

This was an excellent, and challenging course. I highly recommend it for exactly what the title of the course is: an intro to data science. The coursework was really helpful, although difficult.

Nice Explanation and easy to Explain the Python, language is not understood easy but with the written form we easy ready and understand what they said, Thank you, sir, to Explain every concept.

Exceptional course to introduce you to data exploration in Python using mostly pandas and numpy. Would say its very heavy to go through and one should have at least some experience with Python.

This course is very important if you want to learn Data Science by applying it into real-world data. It's trully complete, and it will guide you pretty good towards this Data Scientist journey.

Great course, I feel like I've learned the basics of python pretty well. The only thing I'd suggest is to include exercises regarding dates, timestamps, and pivot tables within the assignments.

The last assignment project is a bit harder, and requires quite a lot of self study, but the course is well structured and worth it. The teachers answer quickly to questions on the forums, too.

This course is really great. It helped me a lot in learning Data Science from the beginning using Python. I am really happy to get such a good level of guidance from the mentors of this course.

Course does a good job introducing the usage of key Python libraries like numpy and pandas. To learn the material it is best to put in extra work. Examples using real data sets would be useful.

Ok you need background in Python and in statistics - the pace is really good and the assignments put the bar pretty high if you are new to using Python for DS like I am (especially the last 2).

Excellent course. It offers fundamentals about data science, as an introduction staff provides very completed material that could be used to solve the assignment, and the content is pertinent.

Amazing course. covers a lot in span of 4 weeks. So, you need to do some work on your own. Would have been great if some of the topics were explained elaborately rather than in a brief manner.

This course brushed up my python programming skills and empowered me with pandas programming for data analysis. Looking forward to learn the visualization and machine learning specializations.

Great place to start learning about Data Science or refresh your Data Science skills. I would recommend any one interested in the topic to take a look at this course and finish the assignments

It is a great course. In depth teaching but on week 3 and week 4 required a lot of hours of researching. Worth every penny. It really pushes people to learn Pandas by researching on their own.

Hard course, but extremely helpful. Good work with pvalues at the end. Tricky assignments. Coming from R, I wanted to learn python dataframes, and I definitely feel I got a hold on python now.

Lectures are great to follow, assignments do make you get into the code deeply and understand how to use pandas, numpy etc. Learned a lot and feel comfortable going forward with it from here!

A very rigorous and highly informative course on data manipulation and data cleaning. Highly recommend for anyone who's an absolute beginner in Data Science and is looking to enter the field.

A great experience working on Numpy and Pandas library to understand the data structures, functions, and analysis of data. Amazing course for those who are beginners in data science learning.