Too easy, assignments and test do not test. Everyone will pass this. Sometimes just outright wrong information. Even in an assignment the answer is outright wrong. E.g. it is wrong to claim that parantheses are used to create a tuple. Tuples in python are made by commas not by parantheses. You only use parantheses to border a tuple when needed. The course is totally basic. If this is all you need to be advanced in data analysis in python everyone is advanced in data analysis

I recently took a crash course on Python and overall, I found it to be a great experience. The course was very informative and to the point, covering all the important basics of Python programming. The instructor was knowledgeable and engaging, and the lessons were well-structured and easy to follow.

However, I must admit that I was a bit disappointed with the final project of the course. While the course was great at building foundational knowledge, the final project felt a bit weak and didn't really challenge me to apply everything I learned throughout the course. I think the course could benefit from a stronger and more complex final project that really puts all the skills learned to the test.

Overall, though, I highly recommend this course for anyone looking to get started with Python programming. It's a great crash course that will give you a solid foundation in the language and its capabilities.

I recently finished the Coursera course Get Started with Python, a requirement for the Google Advanced Data Analytics Certificate. Overall, the course was well organized and exciting, giving me a strong foundation in Python programming. The learning process was pleasurable because of the instructor's expertise and engagement. However, I was a little let down by the course's culminating assignment. Although the course did an excellent job of covering the fundamentals, the final project lacked complexity and didn't fully use the abilities presented in the course. Given that it offers a solid basis and covers key ideas, I would suggest it to anybody looking to begin their Python programming adventure.

This course provided good understanding of Python programming language as well two important libraries, numpy and pandas. It has increased my skills in Python programming language and have come to know usefulness and power of these libraries in data analysis work.

Thanks to Course team for preparing material covered in this course as well to instructors for providing good explanation of material. Thanks also to Coursera platform for offering this great course, Get Started with Python , as part of Google Advanced Data Analytics Professional Certificate.

This course has everything to begin analizing data, I wouldnt say its for beginners, that's what I like most, since I was expecting to gain a deeper knowledge on Python and this course met all my expectations and beyond. It doesnt seem obvious when you begin but its quite important to place all your knowledge in practice, and I found labs a useful and completed tool which guides you in each step. I am grateful with Google to make this complete and concise material for students.

Course 2, "Get Started With Python," in the Advanced Data Analytics specialization by Google on Coursera was an invaluable learning experience. The content provided a solid foundation in Python programming, covering essential topics such as functions, conditional statements, loops, strings, and data structures. The course has significantly enhanced my skills and understanding of Python, laying a strong groundwork for further exploration in data analytics and programming.

I recently completed the Python course on Coursera by Google, and it was an excellent learning experience. The content was well-structured, making complex concepts easy to grasp. The hands-on approach, coupled with real-world examples, enhanced my understanding of Python programming. The course on Coursera provided a fantastic platform, and I highly recommend it for anyone looking to build a strong foundation in Python.

The course goes in depth with all the principles of programing with python and the use of the libraries (pandas and numpy) the exercises have a proper difficulty and the final project really helps practice the use of the libraries and to analyze the results emulating well how a professional in the field is expected to tackle the problems he or she confront in the work place

If you are a beginner and you wanna enhance your Data Analysis with python skills, I think this is the best place to start off as you put all your learning skills at the end of the course's data analytics project , which is a very thoughtful step by google to make their potentials learners equip their resumes with great critical thinking projects. Thanks to Google !!

I enjoyed this course alot.

A keen understanding of Python can truly take a Data Science practitioner's skill to the nest level. Lecturer was very proficient and engaging. This helped alot in staying motivated learning a new programming language, as I come from an 'R' background.

This is a good course on the popular programming language Python.

I really enjoyed taking this course. Learning the power of Pandas and Numpy in data analysis has been brilliant. Would definitely recommend this course to anyone looking to improve their python skills. Although, it is important to know that not all hands-on labs are beginner friendly.

Some topics were a bit difficult and I wish some of the basics were covered a bit more. It felt like the difficulty level shot up unexpected on certain assignments and I had to use the exemplar to figure out the solution. However, overall it was great and I thoroughly enjoyed it.

One thing I loved about this course is tutors encourage you to learn, they not only train you to be a Data Professional but also help you escape imposter syndrome. They made the course a smooth ride by guiding me through coding and also making good documentation of my work.

A very good course that extends knowledge and skills from introductory concepts to the use of important libraries for database development and interpretation of data. The lecturer present each video in a very enthusiastic manner that constantly encourages the student.

I found the course very informative and the instructor was very engaging! I especially liked how the course provided the opportunity to use the new skills obtained in a practical manner based on the workplace. One of the best Python courses I've taken!

It was worth taking the course by getting financial-aid from the coursera and completing it within deadline.It was one of the best experience I ever had in my e-learning courses. Hope to get more benefits from this.

Very easy to understand the concepts/ theories specially for beginners. And for practice should consult other projects or courses. videos are short and concise yet well explained. Great approach I would say.

Nice intro course to Python. The instructor explains concepts clearly. It's more towards beginners. For experienced Python developers, it's probably ok to just do the quiz and skip most of the fundamentals.

Great course! Very helpful for beginner Python learners especially for learning key concepts. Jupyter notebooks, Pandas, Numpy, Tuples, Lists, etc are some of the interesting concepts covered.

Excellent introduction to Python programming, Pandas, and NumPy. I'm quite familiar with all three but still learned a few new tricks. The walkthroughs in this series are quite well done.

The instructors were very helpful & they discussed the codes in Jupyter notebook very well. Data structure & the end course projects are the best things to have in this course.

This course was a good introduction to the language. Assignments were balanced. Instructors were good at keeping focus. As the course name suggests, it is not comprehensive.

Grat journey! I really got new vision about Python and its power. I was only coding some Python and Django for web development. Now I really enjoy this powerful tool!

The course was very well structured, covering all basic Python and pandas concepts, ending with comprehensive documentation and exploratory data analysis capstones.

Excellent pacing in terms of taking someone from beginner to intermediate with respect to Data Science specific Python tasks. Best course I've done on this topic.