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.

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.

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

Please review my assignment! https://www.coursera.org/learn/data-analysis-with-python/peer/kKAn8/house-sales-in-king-county-usa/review/au-vc5uFEeqZJhIm1P6uEQ

This has by far been the best Data Science course I've ever come across. This teaches you 30 pages worth of content so easily that you never feel the burden.

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.

Best part of this course is that it is designed in a way that the student is able to get a clear view of topic on course completion. Well designed module.

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!

A very good course for anyone who wants to get started with pandas, NumPy, SciPy, sklearn.. and learn how to look at data and meaningful insights from it