Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan
About the Course
Top reviews
CB
Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.
PK
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
5426 - 5450 of 5,951 Reviews for Introduction to Data Science in Python
By Agamemnon
•Jan 5, 2018
Not clear enough to understand the lecture, also there is a huge gap between assignment and lecture.
By Renato M
•Apr 5, 2020
There is a HUGE gap between the assignment and the lectures. Otherwise, it would be a great course
By Ajay D
•Jun 5, 2019
Self- Teaching required too much. Feels as though you don't need the course and can achieve on own.
By Yi L
•Apr 9, 2020
It was OK. Too many stuff needs self-learning. Better adjust the course schedule and assignments.
By vaibhav s
•Aug 8, 2017
Assignments were quite time consuming. May be I did not had good background of python programming.
By Sushant N
•Jun 14, 2020
teaching skills need to be improved as compared t assignment as it consumed much time per day.
By Rugved R K
•Jul 26, 2020
professor could be more interesting like the one in programming for everybody in python course
By Abdul H R
•Apr 23, 2020
This course needs more practicing session. There are a lot of lecture but not enough practice.
By Monoplex N
•Mar 21, 2023
For the student who has only experience with PY4E, there is a huge gap to pursue this course.
By Chaithali B
•Jun 16, 2020
I had really tough time submitting the assignments but overall the course was good.
Thank You.
By Varun R
•Mar 27, 2019
Too hard for beginners in programming. They should mention this before we pay for the course.
By Harshit D
•May 25, 2018
Assignments are great! They will force you to learn. The professor and lectures, not so much.
By Patavee M
•Mar 22, 2017
Please provide more lectures. We depend on self-learning more than lectures in order to pass.
By Peter F
•Jul 15, 2022
frustrating. there's no reason hidden tests shouldn't be part of validation. it's annoying
By Ahmed W
•Jun 6, 2020
Needs more focus on Python. It needs an advanced level in Python libraries "Pandas & Numpy"
By Timothy P P
•Aug 15, 2018
It's stuffed. I had to review the videos over and over with subtitles and had to read a lot
By Philip H
•Mar 15, 2017
Difficult. I cannot recommend this course to everyone but just technically minded people.
By CSE_B_52_Md_Amaan_Shaikh
•Jun 13, 2020
Include some theory part in this course,as this is introductory course for data science.
By Zhibo Y
•Sep 13, 2021
assignment (especially assignment 4) are toooooo difficult for an introduction class!!!
By STEVEN V D
•Nov 13, 2017
Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.
By Surya G
•Aug 24, 2020
Great course but not for beginners and also i felt the lectures were short and rushed
By Subhajit B
•May 18, 2020
It was too fast paced and I had to a lot of homework myself after the video lectures.
By Saul S
•Dec 27, 2019
Could have been far better thought out, and the content is not particularly engaging.
By Vignesh M
•Jul 10, 2020
The assesment part is too difficult compared to concepts explained in the lectrues.
By Gunjan C
•Jun 18, 2017
A very good course, but found it a bit monotonous. Assignments were good (and tough)