In my view, It is recommended to study a book on Python data analysis tool-kit panda and numpy. The course video quality is very good, instructor voice is clear and load. I highly recommended to take this course who wants to be a Data Scientist.

This course would be recommended for anyone who has got good python skills already and want to do data analysis using python at a quick pace. Overall, It is fun doing the assignments and thinking more in a pandas way rather than in pythonic way.

The projects were extremely helpful to learn various concepts . The videos could have been a little more descriptive to equip us with a little more knowledge so as to tackle the projects with a little ease .apart from that it was really great

Class was good, and the information was presented in a way that was straightforward to understand and apply. I wish the exercise autograder provided more feedback. Sometimes the lack of actionable information made it difficult to solve problems.

The course is a good introduction for data science and helps me learn pandas and numpy. You may not learn how to use these tools only form this online lesson, but you can be aware of what you need to know if you would like to work on this field.

Good, comprehensive course. At the end you are ready to get and clean data and make some simple analysis on your own. But you need a lot of effort to do programming assignments. Save double amount of time than it is estimated for this course.

This course provides good material. The assignments could be very difficult because the instructions were not clear. In real life, you would have a chance to clarify while it is difficult to do so in coursera.

Overall, it is a good course.

The course was great - the lectures were clear and simple; I learned a great deal! However, instructions for the assessments could have been clearer, and there were a few issues with the autograder (though I'm sure those will be weeded out).

Generally good - with challenging assignments, explanation could be better and grading unit tests more flexible.

Some of the content is rushed - but it is comprehensive and you need to have some python programming behind you before you start.

it's a good, but challenging course as Introduction to Data Science. It will require the student to read pandas documentation and/or search for help on Stack Overflow. If you're stuck, there is usually good help on the course forums though.

Nice course but the assignment is too hard for the beginner, and the assignment and the course materials are not match enough. We have to do a lot self-study when doing the homework. But the skills I learnt from the course is really useful.

This course worked better as a guide than it did as a course. I learned very little from the lectures and had to do most of my learning on my own. One of the assignment even explicitly told students they would have to go learn on their own.

Pretty descent course, however it felt like most of the course consisted of the assignments and self-learning rather than instruction. That's probably ok given the content was more oriented around tools and less around concepts and ideas.

most of this course is really great. but I do think the assignment doesn't match the course very well. To finish the programming assignment, I have to go through a lot of materials and documentations. I hope the teacher could cover more.

Excellent course to get you started with dealing with data. You'll learn a lot about Python, Numpy, and Pandas, and the best part is that you'll get your hands dirty dealing with real-world data and you'll also solve real-world problems

Muy buen curso, sin embargo deberían actualizar la versión de pandas y demás librerías en los libretas y assigments.

Very good course, however they should update the version of pandas and other libraries in the notebooks and assigments.

Good contents, but very poor grading system. Had to guess what was expected. For instance, get_list_of_university_towns (week 4 assignment), I set the indexes on both columns, which led to failure. After I removed the index, it passed.

Great introductory course on data science in python. However, the final projects diverts significantly from the course material, requiring vast amounts of self-study for someone new to Python. Definitely learned a lot in this course.

This was a good course and quite challenging. It requires a lot of self learning if you are not familiar with pandas. I wish some of the technics that were required to solve the assignments were better explained in the course material.

This python is mostly an introduction to the Python Pandas API. It teaches everything by example, but at very fast pace, and the videos are really just preparations for the assignments, which can easily take more time than specified.

Very good course, analysing very important Python tools to be able to create data science projects using python, course and videos were a little bit fast for me especially when i trying to understand native speak of the professor.

Great course, especially the assignments were very useful. I only gave 4 stars because some of the assignment questions were not defined precisely as also highlighted in the discussion panel. Would definitely recommend this course!

There should be more information on every function as to where and when it should be used.

It was a bit difficult for intermediate level as well and there must be some more information on how to use it for data science. Thank you.

Instructor is very good, course material are enough, but assignments are more difficult than I was expecting. They require a lot of research and dedication. Overall a good class, but take it if you have enough time to complete it.

This course has good content, but I felt the speed was a bit too fast to catch up. Since I had already done a python course, I could understand some terms. But this course would not be for a beginner with no background in python.