This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.

Very comprehensive learning process of how to know, manage and wrangle your data which sometimes is the most important and time consuming portion of any data science project.

I am highly impressed with this course !!

This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.

This one is actually dense in content and, unlike the previous courses, doesn't force you to use IBM's tools. It could really use some grammar and layout checking, though.

The course is a great start for applied machine learning or Data science. Yet you should be familiar with Ml-algorithms and a python 3.o, consider these as prerequisites.

Amazing course - delivers great content with simple and easy-to-use instructions. You can easily learn a lot regardless of already knowing some of the content beforehand.

This was a great course to learn the model building and testing models, it took us from zero level to proficient level in getting insights of models building and testing

Would be useful to have some of the visualisation techniques before this session, but a good run through of how to analyse data in Python, build models and validate them

Good course, with some previous experience on basic python and pandas it takes you thru data analysis with hands-on example on real word data. Interesting and effective.

I had so much fun during learning this course. It helps me get to know and do basic coding. Definitely recommended for anyone who want to have a brief of data analysis.

Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.

The course was interesting and slightly challenging. My favourite course on Coursera so far! Even as a qualified chemical engineer, I learnt a few interesting things.

This has been by far the most difficult course I've taken. I guess that if you have some background in statistics, this will be easier for you. Quite the challenge!!!

This is an awesome course for anyone who wishes to start a career in data analysis using python.

The tutorial is well organized and structured with detailed materials.

Iimportar, Domar, Explorar y Seleccionar datos y para entrenar un modelo de regresión lineal, evaluar y seleccionar hiperparametro adecuado para tener un buen modelo

I learned a lot from this course, especially on data preparation, wrangling, analysis and understanding data modelling. Thumb up to the instructors and IBM, Thanks!.

Another great course to learn more deeply about Data Analysis with methods that beginners are able to understand. Keep the good work up! Thank you Coursera and IBM!

This course provides a good understanding of different steps involved in data analysis.The labs provided help us to see the output of our code which is very useful.

I like this one very much. Yes, the course was difficult but easy to follow and enjoyable. Thank you for making me think a lot, and thank you for all your hardwork.

Very interesting course. Definitively I will apply what I been learned at work.

Easy to study due to flexible hours and very simple way of introducing the subject.

Coursera is a commendable website and has helped me a lot in learning new skills from established organisations.

A great shout-out to my Instructor and my peers! :)

It is a great gateway

course into the world of data science. It is mainly focussed on theoritical concepts of data science which have wide range of applications .

The course is great for beginners and anybody interested in data analysis. Lessons were clear, and interactive labs allowed to strengthen your learning experience.

It is an excellent course that helps develop skills such as English language management as well as introducing you to the programming language and data analysis.

This course is very beneficial those who want to build carrier in data science. Each topics are cleared very nicely and the lab exercise clears the most concept.