This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
автор: Ian M•
Really excellent lecture materials. Programming assignments are challenging, but have too many quirky aspects, and require time to debug (without additional learning). Would highly recommend
автор: Cristian F L•
Es un curso interesante aunque considero que las explicaciones son muy cortas y los trabajos de cada unidad para calificar utilizan conceptos de las unidades siguientes, deberían mejorarse.
автор: Akanksha P•
Its a great experience to learn online especially with Coursera I just get everything about data science and technology . thank you so much the team of Coursera to provide the course to us.
автор: Christoph S•
The course has good course assignments, but the description of the assignments is sometimes too short. The lectures are a bit fast, but since it is an advanced course, it is a good balance.
автор: Mohan B•
the content covered in the course is very less to the questions asked in the assignment. Need some more detailed videos for explaining the functions available in python and how to use them
автор: ranjith k d•
Good for Beginners. Assignments are good but question framing was poor. Of course, required doubts are clarified through Discussions. Overall Great Experience doing this course. Thank you!
автор: Prakhar s•
Overall nice, it serves you to go serach for new things and mainly grasp concepts more strongly by yourself.Nice, could have taken more time for statistics rather than just data cleaning.
автор: Samantha T•
The material in this course is great. The only problem I had was that some of the assignments had very poorly worded questions which led to a lot of confusion. Overall, a very good course
автор: Akshansh M•
Loved It, the lectures were short and concise, while the assignments were interesting and challenging if nothing else this course really made me feel like a data scientist in the making.
автор: Ifenaike A O•
Excellent course but not great for beginners...
For a beginner seeking to transcend from python basics to python libraries for data science e.g pandas I suggest you don't start with this
автор: Vipul D•
A really in depth course which could have been a bit more elaborate or just make it a bit more easy to understand by making use of some more examples.Overall a great learning experience
автор: Klaus U•
Very informative, yet challenging introduction to get a glimpse of the possibilities within pandas! Well explained, still needs a lot of "web-support" (e.g. StackOverflow) to get along.
It doesn't give you all the resources, making you do your own research to get all the answers, which is great.
Sometimes questions were not clear enough but the forum discussions do help
автор: Jingyi W•
I took sometime to get used to the auto grader, but after that it's fine. All the staffs are very helpful in clarifying the questions and provide code to debug my codes. It was awesome!
автор: Dominik K•
Overall a very nice introduction to Python. Sometimes the checks for the assignments were a little annoying. It would be way easier if all the checks would be published from the outset.
автор: Óscar V•
The assignments are underestimated: it takes a lot of time more than the supposed. At least in my case. But worth it: through them one can learn a lot of data manipulation with pandas.
автор: Piyas C•
The course will be difficult who doesn't have sound knowledge about the library and functions of python3. It would be better to start this course after completing the course 'Python3'.
автор: Salah E H•
Excellent course, with good material & explanations by the staff. However, giving more guidance on what is expected from each answer could save us some time while doing the assignments
автор: Graydon S•
Overall quite good, but the auto-graded assignment can lead to a lot of time spent less on comprehension and more nit-picky details (more than the R-based data science specialization).
Great course requiring a lot of dedication. However, got issues with the auto grader that made me loose a lot of time unfortunately. Good tips to resolve issues from discussion forums.
автор: Idemudia C U•
The course takes one through essential steps for data science introduction but i feel the assignments look to technical for an introduction and the autograder creates alot of tension.
The course is based on getting hands on experience of pandas package and some hypothesis testing. be sure to learn basics of pandas and hypothesis testing before enrolling the course.
автор: Puskar B•
The course materials, videos are great! I am giving 4 stars just because some of the questions of the assignments are confusion. It takes a very long time just to understand question.
автор: Eric M•
Excellent, if frustrating introduction to data science in python. There was a large learning curve with Coursera and using python, but it was well worth it and I learned a great deal.
автор: Michael P•
A good course overall, except for some ambiguous question descriptions in the assignments which makes you guess what the real requirement is by submitting your answer multiple times.