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: Judit A T•
The explanations in the videos are very superficial compared to the level you need to demonstrate in the assignments. It's basically self-learning with very negligible amount of guidance.
автор: Simge K•
I think that this course is not an introduction course. The assignment were really hard. If there was little assignments after 2-3 min. of video lectures, it would be more informative.
автор: Vaibhav S•
Content In Video Course Was Very Poor Especially the background kept me disturbing regularly, I literally had to cover the area with my hand to hide the background movement with hand.
автор: Hussain M•
The course is neither for beginner nor for intermediate level students. Course is sort of tutorial where how is well explained, what is some time explained but why is always missing.
автор: Abdullah A Z•
The introduction videos are tiresome to watch. Instead of explaining how to program it would to be better to give an assignment and use videos to only explain data science concepts.
автор: Mona F•
The course content and the learning strategy is very good, but restricting assignments submissions to the paid subscription, although I have received financial aid from Coursera.
автор: KJ B•
The code is already written, which means there is no opportunity to practice. More over, the examples have no baring on the homework problems. Would not recommend this course.
автор: Dr. P R•
The lectures are not very useful in solving the assignments.
This cannot be said as an introductory course rather it requires good python skills before starting this course.
автор: Jose N N P•
Lot's of problems with the autograder, lack of teaching staff support to answer questions in a timely manner. Assignments need to be more representative of class lectures.
Content wise is ok. An easy introduction. The bugs made it annoying. Especially Week 2 final exercise https://nzh13lxjj0.execute-api.us-east-1.amazonaws.com/prod/index/2/
автор: Marcin W•
It would be a very nice course... if this guy was actually teaching and not explaining the basics and expecting people just to search online of the remaining 90%
автор: priyanshi b•
the voice of the teacher is not loud plus the assignments are too tough to clear, I think a basic version of learning pandas should be there before this course.
автор: Deleted A•
Too fast and need to break the content even smaller with frequent practise assignment and graded quiz, just make it like python for everybody specialization
автор: Dario M•
I didn’t like how the subjects are explained, and i feel the grading system is not good at all. It would be better if assignments were graded by peers.
автор: Krishna P K•
The course rushes through a lot of concepts and expects the learner to figure out real insights using public resources. The reference material is poor.
автор: Raghav G•
A horrible course with very little detail than required, I had to access a lot of additional resources than coursera in order to complete this course.
автор: Shikhar S•
The content of teaching in videos is a way too less than the level of asssignments .I had to make a lot of efforts on my own to understand the things.
автор: Josep R•
The ways is taught is not very good - basically a lot info in short timespan. I don't think the Jupyter Notebooks format is the adequate for teaching.
автор: Kandregula V N A•
its hard for beginners to understand in the flow , it took me time to complete the course by studying about the same concept in other resources too
автор: Manuel M•
For some reason the format in which the lectures are organized lack a lot of tact and seem to be made with no pedagogic consideration whatsoever.
автор: Clement G•
Explanations of python were pretty coarse, the video was not helping much. I feel like I spent time doing 99% of python and 1% of data science.
автор: Emil K•
Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.
автор: KAMAL G•
The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.
автор: Adam S•
Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well
автор: Chenfeng L•
Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.