I applied for financial aid and got approved with the same.I am yet to start with the course but am getting the message assignment overdue.Kindly push the dates so that I will be able to complete the courses and assignments comfortably

I learnt a lot in this course, the teaching way is quite good with animation and real life based example. I must say the course is designed very carefully. I want to thanks all the course creators to gave us such a great opportunity..

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

Very helpful and useful course especially for beginners who are willing to gain knowledge on Data Analysis. I would recommend starting with this course for those who are interested in mastering their skills in Data Science later on.

El curso hace na revisión a nivel básico de aspectos que te conducen a la realización del análisis de datos, utilizando comandos no solo de librerías de Python como Pandas, sino tambien de conceptos fundamentales de estadística.

The course was very interesting and exciting. The videos were well presented and laid out in a way that is easy to follow and eager to learn follow. Assignments and exercises made us quite interactive and I really enjoyed that.

This course is based mostly on very basic concepts , it's good for those lacking the slightest knowledge in the field of statistics , but yes for beginners it's pretty fine.I loved the presentation of those labs,quite useful

Excelente curso. Con ejercicios prácticos y un nivel más experto de Python explorando otras librerías mas complejas y con mayor aplicación en machine learning y estadística. La metodología del curso es muy dinámica y amena.

Really good course. More challenging than I expected. I expect it will take a few applications of the concepts to get them down 100%. Very good presentation of material. The labs were critical to learning the concepts.

The course perfectly fits those who has some knowledge on python and want to do data analysis with it. It explains how professionals would process data, build model with the data, and use the model to solve a real problem.

Good course. Gives you the skills you need to analyze data with python. I had to spend even more time because I straight up took this course without much idea of statistics and I wanted to really understand the concepts.

This course covers exploratory data analysis and even furthers onto machine learning with some key statistical introduction such as Linear Regression, Correlation, P-value, F-score, etc, explained in its most clear form.

A very interesting and informative course. I have access to the foundational knowledge in using Python for Data Analysis. The labs are helpful as well. I know I can apply the lesson I've learned in real life, real work.

Very good course and well designed , so that a new person also can understand it very well. They way it is taught is admirable. I will recommend, the aspiring data science Engineer, must take this course specialisation!

This course provides a robust walk-through in the use of python for data analysis. The labs ensure the theories taught are put into practice through hands-on projects that further reinforces skills learned. I loved it!

A very detailed course. The hands-on exercises were really good and I got to learn a lot of things from this wonderful course. Thanks to all the instructors for their hard work in putting together such a course for us.

The course structure is clear. I can recall the concepts learnt in the previous chapters on this course.

The Final Assignment rubic is clear. I know what I should hand in to prevent mark loss due to misunderstanding.

Really helpful course to learn the basics of pandas and scikit-learn. The videos were easy to follow and very clear, and they were complemented well with the lab notebooks and quizzes. Thank you to the organizers! :)

As a data scientist in retail industy I recommend this course to you because this course has lots of meaningful topics and educated professors are teaching you.

Hope you the bests and enjoy learning with Coursera!

I think this course is the highlight of the Applied Data Science specialization. I learned so much and gave me the tools to learn more on my own. It was really engaging and I never had a dull moment in this Course.

This is a great course. I went away with so much knowledge on modelling and model testing. The labs are also very well structured and not just a repetition of the class presentation. I recommend this course highly.

The beginning of the course helps you understanding how you can manage your data with python. In the end linear regression, and ridge regression is also introduced. Good course for those not familiar in this field.

Excellente content and very didactic laboratory. There is a lot of information in the course and at the same time it encourages me to investigate and further develop, particularly in Model Evaluation and Refinement

Very "meaty" hands-on work with doing some data wrangling, exploratory analysis and models with single linear, multiple linear, and polynomial regression fits. I took several hundreds of lines of code in my notes.