Sep 28, 2021
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.
May 9, 2020
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
创建者 Josep R•
Apr 17, 2018
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.
创建者 Kandregula V N A•
Aug 26, 2020
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
创建者 Manuel M•
Feb 26, 2018
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.
创建者 Clement G•
Sep 17, 2017
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.
创建者 Emil K•
Jan 5, 2017
Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.
创建者 KAMAL G•
Oct 7, 2018
The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.
创建者 Adam R•
Aug 20, 2018
Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well
创建者 Chenfeng L•
Nov 13, 2016
Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.
创建者 Manya A•
Jan 31, 2017
Too much focus on databases and database operations, rather than data science.
The assignments are too difficult for a 4 week course.
创建者 MAHESWAR N•
Jul 28, 2019
Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.
创建者 Dilpreet S N•
Apr 2, 2020
The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality
创建者 Sarah S•
Mar 30, 2021
This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.
创建者 Abhishek c•
Jun 7, 2019
The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.
创建者 Kush S•
May 20, 2020
The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.
创建者 João C•
Nov 15, 2021
Very little explanation on how the libs actually work. Assignments cover stuff that sometimes is not even lectured.
创建者 Shrey S M•
Jun 17, 2020
Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .
创建者 Abhimanyu S•
Apr 9, 2020
Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.
创建者 Yiren J•
May 15, 2017
The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.
创建者 Apurv G•
Mar 31, 2020
2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.
创建者 Sofia R•
Jul 25, 2021
The course is not gradual. Especially the fourth assignment is too difficult in relation to the course.
创建者 Shahar M•
Nov 19, 2017
The lectures are much too concise, practice is scarce which renders an overall frustrating experience.
创建者 Cecilia G M•
Mar 7, 2017
Need clearer examples and explanations. Slides summing up concepts or used functions will be great.
May 28, 2019
Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!
创建者 Burak C•
Jan 24, 2021
At times the assignments are more confusing than teachin, especially for non-english speakers
创建者 Jordan T•
Aug 18, 2020
Good course but somethings are not explicitly stated when it comes to the exams and quizzes.