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.

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 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!.

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.

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.

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

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.

My experience for this course on data analysis was really enriching where I learned various machine learning techniques and applied to real practical datasets.

This course can help me to know how to use pandas, and reading csv file. This also helps me to know how to create multiple, poly, and linear regression model

Too good if you pay attention...

this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax

Good overview of statistical analysis with python. I'd recommend having at least some background in statistics and maybe linear algebra before taking this.

Good course if you need to start your career in Data Science. I recommend to take all courses in the specialization. Five stars for everyone. Good Luck :)

Very well structured course to learn the whole process of Data Analysis and get hands dirty in the field. Recommend to anyone interested in Data Analysis!

Curso muy completo, repleto de información útil con problemáticas reales y ejercicios de aplicación espectaculares. Sin dudas voy a recomendar este curso!

Very Good Course. I really learned what Data Analysis really is ... opened my eyes! Very useful course for industry as well, I would imagine. Thank you!

This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.

Wow!! Great course!

I learned a LOT. The material is not easy, especially for a non-math person but is one of the best courses I have taken on Coursera.

This course is about regression, how to create models, how to evaluate and select a model or parameters. These are exactly what I would like to know.