Excellent and challenging, especially the final project

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

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.

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...

I just dislike coding

Course was excellent . Loved learning it

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

Cool Thanks))

Thanks for materials and course!!!

Very good course, instructor presented it well.

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).

Awesome course. Challenging final project.

Excellent course! Great material, challenging exercises.

The Mentor is very helpful

{for me : very helpful!}

Challenging Assignments and excellent instructors. Great course.

good!

Good course! I am a beginner and I learned a lot through this course.

A challenging, but well constructed sequel to the rest of the sequence.

Excellent course that covers a good balance of Python fundamentals and problem solving skills.

Highly recommended.

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.

good course

Super useful!

Finished on 03/11/2018

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.