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
Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!
автор: Harsh G•
Last Assignment which is Hypothesis Testing could be more elaborated and more reading material could be provided there for better understanding.
автор: Jatin R•
The course was Great. You got to learn so many things. The assignment is so challenging it will definitely increase your knowledge for the same.
автор: Víctor A M G•
Very difficult course, very challenging in terms of the validation tool for the homework, but undoubtly I learned very much from it. Thank you !
автор: Amol V B•
I would like to refer to all beginnner.. coursera is the best content to learn data science and Machine learning..
AI & ML Researcher
автор: augustus e•
Great course. I'll recommend changes for the assignments. Some were really vague, especially with the workings. It made them quite challenging.
автор: Wynona R N•
This is a good course. It is challenging yet fun. Instructors are very helpful for the assignments. I believe I learned a lot from this course.
автор: Pawroosh M•
I feel the pace of teaching the coding pieces should be slower and clearer. However, overall it is a decent jump-start to learning data science
автор: Ashutosh S•
The course was great though the assignments should have more clarity in terms of the questions and language ambiguity should be taken care of.
автор: Purvansh s•
It was a great experience to be a part of this course, the explanation was awesome, the hands-on practice was superb, I loved the course alot.
автор: lazar m•
I learned a lot about Pandas (Dataframe and Series), it's a powerful library. However the course didn't dig enough the statistics part. Thanks
автор: Mariusz K•
Too little of expounding and too much of searching the net by oneself. Too few examples. It is a self-learning but what's the Course for then?
автор: Hungy Y•
Do more examples & explain more theory on screen, rather than have the camera focus on the lecturer.
Highly useful intro tutorial. Thanks team.
автор: Tanishk S•
if you are new to the field this should be in your way to excel. had a great time . pls do refer to the books suggested it is surely necessary
автор: Rahul K•
Great course with everything well explained.
Its just the assignments are a bit tough and you have to explore a lot to get the answers right.
автор: 21_Keshav M•
The Structure of Course is Great!! Although I would love to have mentors explain concepts a little more. Overall a great introductory course.
автор: Stefanie N•
The help in the forum was good, the assignments were fun although I always had some problems with the grader at first, some resolved some not
автор: Roshni G•
The assignments were challenging and cool. Lot of self-study needed to crack them. The lecture videos could have been a bit more interesting.
автор: ASHISH B•
The assignments were very interesting and the teaching also was very good. The main help was the provision of notes in the jupyter notebook
автор: Sven E•
assignments quite challenging , way more time needed than the est. times given by coursera. happy I could finish it. on to the next course !
Curso interesante para iniciarse en la librería pandas. A veces vas algo perdido pero dedicandole esfuerzo y atención aprendes muchas cosas.
автор: Jason R•
Could have been more challenging and worked with more interested bigger datasets but was a great way to get up to speed on pandas abilities.
автор: Paula C R•
The course is really nice, hands-on all the time. Some questions of the assignments could be improved to avoid ambiguity/subjectivity tough.
автор: Ishank T•
Not beginner friendly, great assignments which require "stackoverflow" skill. you actually learn from assignment. Videos are not that great
автор: Dominic l H•
good course overall but there needs to be more information on code profiling/optimizing it is really required to pass a part of question 4.
автор: luciano d f a•
A good introduction to Pythonic data science programming tools. Just bit too fast in exposition for my learning curve. However I liked it.