Very good course. The Instructor is very good at explaining the concepts. The content in the assignments was very well chosen and help in getting a better understanding of the concepts. The teaching assistant was also good at explaining. All in all a very good introductory course... definitely recommended!

This is an excellent course to get introduced to pandas by completing practical assignments. Python and basic statistics are required. Assignments on weeks 3 and 4 take longer than three hours. Almost all the course is self-contained, some specific topics should be searched online to complete assignments.

This is one of the best course for a beginner in data science. The assignments provided and the quality of information provided and the emphasis on self learning, making familiar us with websites like StackOverflow and GitHub and Geeks for geeks which are some of the top websites in this programming world

This course enables me to practice a lot on my programming skills. This course emphasise a lot on hands-on exercise and require abundant amount of self-learning over the network. The friends and teaching staff in the discussion forum are also friendly and the forum is so useful in solving the assignments.

Great course in hands-on experience with Python on data analytics. Before the class, I took a intro class to Python in my school covering basic commands, and thought this Coursera course would be kind of easy. But it turned out to be a very intensive one. I take more than 6 hours to complete the homework.

An Intermediate level course. you must have prior grip on python in order to expertly understand and employ this in to practice. Overall the course is Highly detailed with each and every thing elaborated and the disussion forum is very responsive. Loooking forward to use these skills in my future Career.

One excellent class to start understand and practicing Python's numpy and pandas. The instruction and course structure are great. I really like the assignment because they gave me chance to use the code syntax/knowledge I just learned. If your job involve working with data, I highly recommend this class.

This is a fantastic introduction to Data Science using Python. It's challenging enough and I love the way Jupyter has been integrated to help with assignments. I love the fact that they encourage using independent research to solve some of the problems as this is a critical skill for any data scientist.

This Course is very challenging and assignments very tricky. It covers lot of thing regarding python. Just one suggestion I know this course was not for beginners however Please try to give more explanation in video. Discussion Forum was Fantastic. Solved many doubts and explain the program in detail.

very good course. It requires a lot of self learning, I think that is also the core of online education. However, the python assignment has some trivial problems. like in some cases, I already have the obvious right answer, but the system has judge it incorrectly, and just have no idea what's going on.

This is the best ever of all courses I took on MOOC. It was well prepared, Clear, fast paced, informational, challenging, and with appropriate exercises. Sometime I had to pool my hair to get things done and spent a lot of time, but it was fun and worthwhile. I thank Christopher Brooks and the team.

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Its Awesome To Take This Course.What I AM Interesting Is To Give US More Suitable Lecturers And Questions Based On The Course.Anyway,I Am Reallly Happy To Take The Course From One Of The Popular University (University Of Michigan).I AM Really Enjoying This Course .Lastly,Thanks To All The Professors.

Excellent course to acquire skills in data manipulation and data wrangling. Excellent hands on experience with pandas and numpy functionalities. The assignments and the project are the main highlight of the course. High level of practical understanding is attained through working on these assignments

As someone with a statistics background and a bit of programming experience, I found this course to be both challenging and rewarding. The videos with embedded example questions were great, and jupyter notebook homework assignments are so much better for learning the material than regular quizzes.

The course is a bit challenge but finally I passed it. It's not like a beginner class that everyone could finish all the assignment very easily instead we have to finish them by ourself through the Stackflow or the Forums to get the informations we need so that we could solve all the problems.

Enjoyed the course. The assignments are quite challenging if you are a beginner. It tests your skills thoroughly about all the topics. I need to google a lot to find solutions to several pieces of problems. It helped me to learn new things from the documentation and stackflow in the meantime.

This course fulfills what it promises, it's more than just a Python programming course, but less than a full fledged data science/applied statistics course. The materials are well structured, the workload is adequate and the learning is enhanced by the optional readings. Strongly recommended.

Introduces the concepts and gives you the tools to learn more and gives you exercises that have you apply your learning. By the end I felt I really had a grasp of pandas and a good idea of where I would look further to grow my understanding of Data Science and the tools available in Python.

This course is a wonderful package for anyone starting in the field of Data Science. Mentors of the course were very active in the discussion forum which helped me quite a lot during the course of the assignment, which I believe were quite challenging but a lot of fun. Thanka a lot Coursera.

This is a very good introductory course with hands-on exercises and assignments. The course platform is very good and easy to adapt, nothing to worry about installing python or pandas, etc. Recommend it for the ones who knows python and wants to go into data science using Python and Pandas!!

For me it has been a very interesting course with really useful exercises. The course videos and notebooks were helpful alongside all the documentation available in the internet like pandas documentation and also stackoverflow. Now I am able to use pandas or find my way with it comfortably.

A very good for learning the basic tools in Python, needed to delve deeper into data science. However, unless you already have experience with python and pandas, I would take the time estimates in the course as a very conservative estimate of the effort needed to complete the assignments!!!

I was really impressed with the assignments for this course - they really required you to expand on your knowledge looking up documentation and discussion forums to answer the questions. Although they were challenging, I really enjoyed the difficulty which is rare with most online courses.

It was a great course, however the homework requirements requires a ton of time. The lectures make it sound easy but assignments are too difficult and convoluted. I would suggest breaking down the assignments into smaller pieces rather than single output large questions with a 50% scoring.

Es un curso muy bueno y muy desafiante. Lo inicie prácticamente sin saber nada y lo pude completar, teniendo ya sólidos conocimientos básicos sobre el análisis de datos. También debo decir que los apartados de preguntas y dudas son muy completos y me ayudaron bastante cada que lo requerí.