Excellent course with practical assignments and clear explanations, greatly enhancing understanding of data analysis concepts.

This course has been very helpful for me. I've learned so much in this course. Thank you to the team for making this worth it.

hard to learn from scratch if you are a beginner but perfect to recap what you've learnt and can't get completely understood.

awesome content, a quick summary for the pros, cons, purpose and comparison between the 3 main topics will help comprehension

This course is a little more specific coding wise, great to learn some of the principles behind model creation and analysis.

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

Superb!! It structure is by far the best. Furthermore it is well explain and with enough labs to practice the new knowledge.

Beginner Friendly course. Helpful in the terms of simple concepts of Data Analysis. Good course to get started in the field.

This course could not be much greater. I enjoyed every bit of it and learnt so much. Thanks IBM for such a wonderful course.

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

This course provides you with the python code used for conducting regression analysis and visualizing results. Nice course!

It was very helpful for clearing my fundamentals. Coursera helped me to get the course for free and I am thankful for that.

very good course and i have learn lot of skill of data science from this course

also it contain very good project at last .

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

Nice course with lot of content. It would be nice if extra content is provided to learn about some of the topics in depth.

Pretty cool course, I really appreciate the material in here, i learned a lot about data analysis in here. Awesome Thanks!

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.

It was a great learning experience. In Video questions, labs and Questiions after each module eased the learning process.

I learned some great tools that i hadn't learned in other Python courses, which I can apply directly to my side projects.

One of best course.As usual IBM courses are very useful.Specially the labs are very helpful.But more topics are expected.

the course is clear and understandable with comprehensive contents about using python and build basic modelling pipeline.

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.