The only problem is that the notebook connection to server is quite weak. Sometimes I got rated 0 for failing to saving my latest answer. The overall class is well-paced and the difficulty level of the assignments are quite well organized too. Would recommend it to beginners.

In assignment 4, the description was a bit confusing, I did not need full understanding of the data, nor did I need to google any teams, all the data was provided within the sheets. It could have been much more simply especially to someone who is not really that into sports.

Some of the questions were a little unclear, but overall this is a very well put together and informative course. You will learn a lot, and I will be referencing the resources here later. Note: this is a more difficult and time-consuming course as far as coursera courses go.

Good course to learn the basics of Python that you need for data science. You would be doing any machine learning in this course, but you'll learn how to do data prep and analysis in Python. Highly recommend if you have no to limited experience with Python, NumPy and Pandas.

Very well-designed introduction course! The videos are concise but don't lose any key points. The assignments are a little bit hard starting from Week 3, while students can learn many application skills in Data Science from them. Looking forward to the following courses! :-)

This is a course with very challenging/time-consuming assignments/quizzes that introduce the python regular expression module/tool and panda dataframes. Lecture material is short on detail so a lot of googling and reference to other sources is required in order to complete.

This course gave me perfect start as I already learned python before registering for this course. The way things are in this course, makes you do stuff on your own and always encourages you to learn the topic and apply the learned things practically and it really helped me.

The videos and programming assignments were engaging and challenging. I was able to start applying the lessons immediately at work and have looked back at my notes several times while writing Python code for a data science project at work. Looking forward to the next class!

The course content is crisp. I like it that the course doesnot delve much into the coding and syntax part of it. It develops your concept of the topics which is a good thing. Not a very rigorous course, good for starting with the basics and strengthening your fundamentals.

This is a really great course. Christopher Brooks teaches in a very clear and objective way, in addition to the weekly assignments that are challenging and puts into practice all the content you've learned trough the videos and the material. I really recommend this course!

Excellent course!I really enjoyed doing the assignments and I learned a lot from them. However I think some need a little clarification. If it weren't for the forums I would be stuck in the 3rd and 4th. The recession interval was particularlly hard to find (assignment 4).

Great course, the assignments require you to think and apply the course materials. Not too easy, but also not too difficult, since information is widely available to get familiar with the python programming. Requires learning by doing, which is the best way in my opinion.

good course, hard homework, especially pay a lot of attention to the details, and don't know whether it's good or bad, after all time is limited, and I don't know whether this kind of homework is a good way to improve our ability. Pay too much time to refine some details.

Best Course so Far, This is what every MOOC should be structured actually, it forces not to rely on the content but to really understand the concept you need to search. Great community, All my doubts are already there in the Forums, Scored 95% but still grinding for 100%

The assignments of the course are hard and make you go deep into python, to try to find the answers. I spent more time than I expected on it, but once my target is knowledge I really enjoy. Recommend! (Attention: It is strongly recommend knows programming before enroll)

Very good course with a solid introduction to data cleaning concepts in python and how to approach a few problems using different datasets and concepts. I already started applying the concepts at my work and the results were satisfactory. I totally recommend the course.

Pace was okay and content of the lectures was understandable. The assignments are a little hard since it requires you to discover outside of what is taught but gives you much greater exposure and allows you to practice more. Overall a good introduction to data science.

Really good materials. Pace of course works very well for me. It covers a wide ranges of topic in python. But i think somebody with limited knowledge of python will struggle a bit with some complicated concepts in pandas (slicing, groupby, index...)

Overall. Good course

It is a great, brief introduction to Pandas. I think it is ideal for someone who already knows Python but doesn't have much experience with Pandas. Lectures are well structured with quizzes interspersed. Homework assignments are also well structured and use real data.

Well organized course with lots of materials available for self study, specially the discussion forum was extraordinary helpful to complete this course. Ans this is bit tough one to handle to new comer in programming. But with a little extra effort can be completed.

I've learned a lot of courses on Coursera, and I found this course the toughest but the most rewarding.

I can't say that after this course I became an expert in Python-Pandas, but I've really learned tons of analytical skills.

Thanks to lecturer and all the faculties.

The videos maybe fast, but the assignments are really good. Passing the assignment involves doing a lot of research and data cleaning which really makes one familiar with all the numpy and pandas library. At the end, one gets very comfortable with Pandas dataframes.

Good course with a wide variety of challenging exercices.

Had to go back and forth many times, do my own research on internet to get the problem solved.

The formulation in some questions must be improved in other to understand what we're asked to do in the first read.

This is a great course if you want an introduction to data analysis. I liked everything in this course, from the instructor's soothing voice to the weekly assignments. I'd recommend downloading the videos and watching them twice before moving on to the assignments.

Great Course. Videos are a bit fast and doesn't cover enough for the the assignments which are quite challenging. But in my opinion, that is how it should be. It will help students to search and find answers and correct errors. The discussion forums were great too.