学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈
课程概述
热门审阅
TM
Nov 17, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
CD
Dec 11, 2019
All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.
7051 - Python for Data Science, AI & Development 的 7075 个评论（共 7,826 个）
创建者 Muhannad A
•Dec 18, 2023
its very good part but for new person using python, to learn more he is need more application videos.
创建者 Anna M M
•Mar 1, 2021
Not as challenging as I hoped for. Would have been nicer if had coding tests instead of theory tests.
创建者 Bao M D D
•Jun 20, 2019
The final assignment is more about how to use the storage of IBM then to learn how to code in Python.
创建者 Arnob M
•Jan 27, 2025
I think it would be tough to catch for newbie and more explanation is needed for most of the videos.
创建者 Harsh G
•Jun 1, 2024
The Course could have been organized better. At certain places the content was not in correct order.
创建者 vish n
•Jun 19, 2022
should have given atleast 50 more excersises for practising each week to get the knowlgde thoroghly.
创建者 David B
•Jun 24, 2019
The course content was good. I had issues with the external cloud platform and the final assignment.
创建者 Vihaan P
•Jun 28, 2024
Too fast paced couldve been better many modules we just skimmed over stuff and not explained well
创建者 Letian Y
•May 28, 2021
Ambiguity in which areas are necessary. API, Webscraping could have been explained in more detail
创建者 Adrian . E
•Oct 21, 2022
The course should have given students the opprotunity to test their coding skills in the exams.
创建者 Leif K
•Jan 14, 2021
als Einsteiger Kurs geht es recht schnell vorwärts, teilweise würde ich mehr Erklärungen erwaren
创建者 Adarsh A N
•Apr 19, 2020
Need more assignments on Python. Requires much more emphasis on libraries like pandas and numpy.
创建者 Gabriel A
•Jun 13, 2019
Best thing about the course are the notebooks. Other than that, the lessons feel rather shallow.
创建者 Benedikt C
•Sep 6, 2021
Good to follow and understand but not that much to do by your own to practice the learned stuff
创建者 Kyle I B
•Oct 9, 2020
Sometimes was poorly organized, very hard to access information, coursera interface is lacking.
创建者 Brian h
•Apr 16, 2020
For a non-programmer I found the pace too fast and often did not understand the course content.
创建者 Rebecca F
•Nov 26, 2025
Some of the activities in the lab didn't work or had errors. Needs to be looked at and fixed.
创建者 Muhammad F K
•Aug 4, 2023
it was awesome experience regarding python learning with an efficient and knowledgeable videos
创建者 Salil K
•Jun 25, 2020
Good course ...covers the basics and gives an overview for those who want to understand Python
创建者 Indu C
•May 1, 2019
Assignment 5 instructions were outdated and confusing and took some googling to figure out.
创建者 Mike K
•Apr 12, 2019
Good course syllable, but some tasks, especially final assignment, are raw and include errors.
创建者 Mohammed M H
•May 3, 2020
Was not that good as it should be . The basic part was good and the advanced part was too bad
创建者 Rufus T
•Apr 13, 2019
Good course, well structured: but assignments not always clear and that costs a lot of time !
创建者 Павел Б
•Dec 9, 2024
Без корректного перевода видеороликов и лабораторных работ мне было очень сложно разобраться
创建者 Mukul P
•Jan 16, 2019
Basic Course - I would modify the title to reflect something like "BASIC / FOUNDATION / 101"