It was a wonderful course. They have explained all those hard concepts in a pretty easy way.

Thank you team for clearing all the concepts!

Hard work, patience and perseverance is the key to complete the course.

Awesome content but require rigorous attention for accomplishment.

I feel i need more exercises to be more fluently on coding. It would be useful to memorize all those commands. Thank you for your course.

This is really a good course to do for all the data science enthusiasts. The content is really very good. Good explanation of concepts.

Amazing course with amazing instructors. Practical labs were so awesome. Thank you Coursera and IBM for making million dreams possible.

Toughest and longest course so far for the IBM Professional Certificate in Data Science. Need to study more and give much time on Labs.

This course is much better than " python for data science", much more clear and detail. This course should be learned before that one.

One of the best course that I have taken. Starts from foundations and leaves you where you can be on your own in further discoveries.

Just that some of the questions asked in videos were inappropriately timed, often at middle of sentences and words of the narration.

Challenging, but very rewarding course with code that will help you with all your data science endeavors down the road. Thank you!

I really like the last 4th and 5th sections for data model creation, analysis, evaluation and refinement. Very enjoy this course!

This course is an essential fist step that you should follow if you want to get a good and thorough introduction on this topic!

Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification

It is a very challenging course, I would've like a course project to practice and utilize all the skills taught in the course

There are some important concepts covered (hyperparameters, training data), the visuals are good, but the tests are too easy

Its was a great learning experience working with model fitting, different methods and different data visual representation.

Is a great course and you can learn some functions to develop models to predict results. All with the big python language

The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.

Really great overview. Outlines how to create an example predictive analytic from tart to finish in a really cohesive way.

Great information. Definitely worth every second of time spent. I will be coming back to this course later for reference.

Teaches the basics well. Suits someone who has prior fundamental knowledge as the course hits the main points succinctly.

I find it worth the money taken the teaching methodology is excellent and even an average student can gain a lot from it.

Data Analysis with Python has made me to apply the mathematical and statistical knowledge in solving community problems.

Awesome Course. I love this class!!! Strongly recommend this course for those who wants to learn Data Science in Python.

Very good. lots of methods are covered in this course. Should include 1 complete real-world scenario handled end-to-end.