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.

Overall I very much enjoyed the hands on labs, where I was able get that first-hand experience I so much needed. Thank you for this comprehensive and engaging course!

Very informative and well organized. The animations and videos were very good. The voice of the instructor was clear. The contents were carefully selected. Great job!

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.

I enjoyed the course thoroughly. Anyone looking to start their career as a Data Analyst or Data Scientist should definitely take this course. Highly Recommended!!

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.

This course deserves a 5 star, was nice and educative indeed. Only that the final project was so easy, but course material was very consistent and understandable

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.

Great course with Jupyter notebook for code and output for each module. Course videos contents are very concise. Much can be learned from the Jupyter notebooks.

I have learned a lot if things regarding data analysis .

thanks to the teachers for helping me to understand how to analysis the data in different ways.

thank you

I found the material very useful, well structured and hands-on oriented. There are many complex matters, lsuch as Advanced Statisctics covered in simple terms.

Excellent class for new data science to learn about data per-processing, data modelling and analysis. Highly recommended for those who are new to data science.