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

Amazing content. I learned a lot of concepts used in analyzing data in Python. Examples in the course made it simple and easy to practice and understand.

This course is good for someone who wants to start learning machine learning. It covers all the relevant topics which will help you in machine learning.

This course was packed with a lot of details. I mean a lot. If one doesn't take his/her time to go through everything, it would just become overwhelming

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.

This is one of the best courses I have done so far on Coursera. The special point is this course has the whole project hierarchy for the bottom to top.

This course is quite challenging compared to the past courses. It really needs you to review and understand everything before you can pass the quizzes.

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 a good opportunity to test yourself in data science and moreover it provides you to advance your knowledge and skills in data analysis.

Excellent module. It gave me a good overview of all components about data analysis. I applied it immediately to a case that I had in hands in my job.

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.

Course lectures and materials are very well delivered and written. The lab sessions are interesting and difficulty level is just right for beginners.

Amazing course to start data analysis with python. It covers most important aspects of data preprocessing in machine learning using python libraries.

Excellent course. The level of difficulty is not high, but you can still learn quite a bit from the videos and especially from the Jupyter notebooks.

Refreshed my concepts about the statistics, regression and error calculation. Explained most of it in a very unambiguous manner. Highly recommended.

An insightful course which is consized appropriately making one comfortable with basic statistics ,creating model pipelines and data visualizations.

Great course, I loved the final project because it really puts what you've learned to test. I wish there was more like a project like this per week.

One of the best course for data analysis with python. It covers the concepts to start working on a project and has well detailed explanation to all.