Overly simplistic lessons and quizzes followed by brutal projects that require you to teach yourself techniques not covered in the lessons. Now I don't feel like I've learned anything because I've just had to trial-error my way through half the code. What worked, what didn't work? I can't remember...

Excellent and challenging, especially the final project

Definitely more challenging than the previous, but if you want to be serious about scripting in Python, very few other courses will get you there than this one. A little too focused on reading csv files than I wanted, but even then, I was provided with enough challenges working with dictionaries, lists, all the while learning new Python skills (lambda functions, list comprehensions, etc.) that I can't really give it anything below 5 stars.

Excellent Course, I really recommend it. This was my first course about python but now I gonna take all the courses available

It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.

The reading and writing file csv file part is difficult, especially reading data into dictionary part.

I just dislike coding

Excellent! I previously completed the Fundamentals of Computing Specialization from the same instructors, yet there was ample new content in this course. This course focuses on techniques for dealing with tabular data, which are represented as nested arrays (list of lists, dictionary of dictionaries, list of dictionaries) using map, filter, lambda, list / dictionary comprehensions and the csv module for loading and saving csv files. The final project is rewarding, requiring relatively little code but a clear understanding of the underlying data structures.

Compared to the Fundamentals of Computing specialization (which later moves towards developing efficient algorithms), the series so far seems to be geared towards developing practical skills for applying Python for data science. Very rewarding.

The material is taught in a straightforward and easily accessible manner which can lull you into thinking that this is easy, but it is not. The final assignment and optional programming exercise in the last week will really force you to dig deep to put it all together. Everything you need is right there in the lecture notes you just have to be willing to listen. Great course.

Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.

I really liked the course, thank you so much!

One thing though, when checking your code via OwlTest, and the Pylint errors that pops up, consider removing the check with mixed EOL characters (CRLF / LF). At least on my system I could not fix this Pylint error on Windows. I had to re-save the file in UNIX (DOS-format).

Instructors are awesome and very helpful. this is the third course I took from rice university and will definitely take fourth of the specialization. There are many exercises to be sure you understand the topic and forums are also actively checked by instructors. I definitely recommend this course.

This is a very good course. You will feel very satisfying when you complete the final project. Maybe the only thing I want to complain about is that the statement and signature of the project are not so clear and a little bit confusing. It takes me some time to figure out the requirement.

I am so happy with this course. I am learning so much. It is challenging sometimes, when I try to put everything together in the projects. This takes me quite some time, but I still can do all the other stuff I am supposed to do. The forum is great to get your questions answered.

Many thanks for the two amazing Professors. This course will teach you a alot about Data Analysis in Python using real csv data files. The most important thing is that you don't use ready made libraries, you just write your own functions and use built-in methods in Python

This course is so great. The baseball project is very interesting. Actually, coding is not difficult for that project. I feel the most important thing is understanding what they are asking you to do. So, read the project description carefully.

This module is very good for learning about reading/writing of CSV file and making use of lists or dictionaries to store contents of the CSV files. The end exercise is very good and challenging for this module.

The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.

One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.

One of the best courses on data analysis in python. It was a deep dive into the basics. More than the course videos, i enjoyed the assignments more.

Great class. It might not be perfect for beginners, but good for someone who has had one semester in Python programming. Thank you, everyone!

Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.

Great Course !

Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course

This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!

This is a really really good course to get hands on how to access data from the csv files and work with it. I liked it a lot.