I'm really over-whelmed!...And I mean it. After completing this course one can get a clear insight of data. All topics are clearly explained. All lectures and labs are well structured. Thanks Team IBM!

This course is very good and it covers all the fundamental concepts used by pandas and numpy. It covers the linear regression, ridge search, grid search, polynomial regression and Pipeline construction

It gives a very good introduction on most of the basic statistical methods. It is a bit challenging to absorb it all, but all by all very doable. I enjoyed this one and learned a lot from it! Thank you

Me gustó aprender procesos de análisis de datos, algunos un poco complejos de entender pero se saca el tema. Seria bueno colocar algunas referencias para ir mas en detalle en algunos puntos complejos.

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

A compact course. Good one who want to learn within a short period of time. But if one wants to understand the topics well, then he/she should go through the documentation of respective libraries.

Great Introduction to Data Analysis, the concepts going from the basic to deep in data-testing and data-training, as well as several applications linear and polynomial regression to data analyze.

I am learning so much from this course. Video lectures are very easy to understand and the labs are interactive.

My heart full gratitude to all the team of Coursera for providing valuable course.

Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.

A great introduction to fitting data in python.

The core principles and measures are well explained.

The only slight minus point: No information about the interpretation of fitting parameters.

Enthralling and motivating course! Lectures and practices are conveniently balanced! Labs are so excited and realistic! Many thanks to all creators and teachers for such kind of awesome job!

Well arranged course that covers the essentials statistics with Python. But be aware this is an elementary course that may be a little too easy for those who have experiences in statistics.

It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I'd lie if I say that it was a piece of cake, but it wasn´t impossible, either.

This was a good course to understand some of the analysis concepts that are available.I would rate this course for anyone who wishes to have a good foundation of Data Analysis with Python.

This course precisely and comprehensively covers important aspects of Data Analysis with Python. I strongly recommend this course for those who are serious about Data Science using python.

Great course, nice structured, first theory then practical lesson which helps to fully understand and gain knowledge. If you are a beginner in Data Analysis field then totally recommend!

Excellent course, it helped me a lot to get started with Python. Still today I always consult my personal notes on this course to perform data analysis in all types of projects I work on.

Highly recommended...

This course not only teaches tactics of analysis but also intuitions behind them.

I would suggest to go over labs carefully because they have been very well designed.

full of knowledge I can't explain in my words how much the course is fantastic. I love the content and I learned a lot in this course. The staff is very cooperative in discussion forums.

I like this course more than anything. As this course give me many useful insight of model as well as this included the many things like from model fitting/training to improve the model.

The course is very hands-on focused and that's great. Nevertheless, if there were some documents that summarize the week content (attibutes or codes characteristics) would be fantastic.

It is a good course on Data Analysis for both predictive and descriptive analysis. I think there should be more practice assignments for more hands on experience on predictive analysis.