This was very challenging but extremely interesting for me. I have only started coding in python about a month ago. This course was delight and lectures were very informative and helpful and TA's were awesome. Keep it up.

It's really a useful course, although the video knowledge is not sufficient for you to finish your assignments, you need to read extra documents by learning things helpful for your grades. At last, try work hard for that.

It is awesome and we get our hands dirty on real world problems that one can put in their portfolio and showcase what you can do so I would recommend it to anyone willing to study Data science this is the place to start

This course has improved my skills in python pandas library. Now I am very much comfortable to start machine learning with Python. Thanks to Christopher Brooks for his efficient way of teaching and excellent assignments.

Great class! Right amount of challenging for someone with some Python (or scripting) background to cover some useful Pandas scenarios. Only critique is the coding challenges would be better if error logs were provided.

Great course for beginners in data science with some knowledge in python. Nice techniques for data cleaning and transformation are shown. But one needs more than what is in the lecture videos to complete the assignments.

Very Beneficial course and full of skills in that era.

Every Student must learn that course.

Thanks to the Coursera platform for such type of educational activities.

Thanks to the Instructor and the University of Michigan.

The course introduces very basic skills to Data Science using Python. In my case, the most important one is to use Pandas. I think Pandas is one of the most important tools. Therefore, I prefer Week 2 and 3 than week 4.

Passing criteria can sometimes be difficult, but follow Dr. Brooks' instruction.

Use pandas docs, and stackoverflow.com.

Try to be consistent with work and you'll be done in no time, after all this is a four week course.

The assignments were tough!! Probably the course expects you to learn a few things here and there from external sources too. Other wise, it did a fantastic job in creating a solid foundation for me in python and pandas.

This course is a wonderful way to start your data science journey. You can learn the fundamentals of data manipulations with numpy and pandas, it has a great set of data sets, challenges and quices to test your skills.

It lives up to the title and more. Only minus, some of the problems could have been better explained.

Also, make sure you take an intro into python and pandas, even if you are a beginner or a part-time/hobby programmer.

Very good courses on data science I came here after getting certified in deep learning and was lost on how to do pre-processing of data now I am familiar with the idea and would like to continue with the specilisation.

It was a great experience, i am grateful for the chance that Universidad nacional from colombia gives me, i did can to improve a little more my programming skills, and to be close to basic notions about data treatment.

It's good to relearn some basic concepts and even learn a new trick or two. I can truly say that Jupyter, pandas, numpy, and scipy are good statistical tools in try to process the data that we are trying to understand.

I want to thank University of Michigan for giving us the opportunity to learn Introduction to Data Science in Python, it really gives us the knowledge that put us to the edge in learning to be competitive in the scene.

Great course for learning and practicing how to work with Pandas. The only thing I would like to mention for improvement is to make videos more relevant to assignments, and videos itself should consist of more lectures

I really enjoyed this course. For me it was'n easy at all but I still say that you find the right way to help the students without make the assignments pointless. Thank you so much for this great learning opportunity!

Excellent course and the content is presented very efficiently. I often watch lecture for other courses at a 1.25x or 1.5x speed, but this was different. I could barely keep up at the regular speed. Highly recommended.

Excellent course to introduce you in the numpy and pandas libraries in Python and other topics about reading and manipulating data . You should have basics in Python programming because the course is some challenging.

Excellent course for a detailed introduction to pandas. The assignments were great facilitators to the course content and required good understanding of concepts and a fair amount of use of the official documentation.

It was bit fast, but overall the quality of assignments was really good!

Took me a while to solve the assignments but the questions were of good quality and skill.

Thank you University of Michigan!

Thank you Coursera!!

The videos are pithy and the exercises are challenging for beginners. This class is an introductory course, but not from scratch. If you haven't dabbled with Pandas before you may find this class extremely fast paced.

good starting pointing to get familiar with pandas dataframe through the assignments and project. I had to read other resources and watch other videos online to complete the assignments, but I think that is the point.

Debes tener al menos un nivel de conocimiento del tema, los ejercicios son retantes para los que apenas estan empezando. Por lo que, sugiero en cada ejercicio leer o complementar las clases con documentacion externa.