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学生对 IBM 提供的 Python for Data Science and AI 的评价和反馈

15,931 个评分
2,398 条评论


This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o Your first program o Types o Expressions and Variables o String Operations Module 2 - Python Data Structures o Lists and Tuples o Sets o Dictionaries Module 3 - Python Programming Fundamentals o Conditions and Branching o Loops o Functions o Objects and Classes Module 4 - Working with Data in Python o Reading files with open o Writing files with open o Loading data with Pandas o Numpy Finally, you will create a project to test your skills....



Nov 18, 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.


May 17, 2020

The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.


1776 - Python for Data Science and AI 的 1800 个评论(共 2,380 个)

创建者 Chiara P M

May 18, 2019

would have liked a deeper approach but overall a good overview for baby steps with python

创建者 Subhashree D

Feb 18, 2020

I have learnt how to use pandas and numpy but I would have appreciated more assignments.

创建者 Jenny H

Jan 12, 2019

The content is useful however there are quite a few mistakes on the presentation slides.

创建者 Vittorio S

Aug 24, 2018

Great course, perfect in explaining Python. Small issue with submission notebook system.

创建者 Ng X P

May 19, 2020

Some knowledge on vectors will be helpful. Wished it delved more into pandas and numpy

创建者 Miguel

Sep 21, 2019

Labs are nice but would like more practical exercises like the final dashboard project.

创建者 Kunal K

Dec 21, 2018

If we study thoroughly than this course is really helpful from data science perspective

创建者 Sooraj S

Oct 06, 2018

Please add a lecture on how to deal with XML data, as this was required for assignment.

创建者 David R J

May 27, 2020

It was really good but difficult for people like me not familiarized with programming.

创建者 Regis B

Apr 12, 2020

very good course, very interesting, but difficulties on several occasions with the Lab

创建者 Reid N

May 06, 2019

Would have been nice to have longer quizzes, or questions that had us write more code.

创建者 Sneha G

May 01, 2020

This course is a step to start your career in Python and data science. Good learning.

创建者 Haoran T

Apr 19, 2020

Overall, this course is well designed but still, there are some little mistakes found

创建者 Lorenzo B

Aug 30, 2019

The course should be more gradual in order to explain step by step the tought topics.

创建者 Pranjali S S

Mar 30, 2020

It was great learning experience, was really good kick start programming in Python

创建者 Pulkit S

May 02, 2020

Amazing cover of fundamentals with quiz and practice data helps a lot in learning.

创建者 Divy B

Apr 30, 2020

if this course has one or two week more it will be much better. and course is good

创建者 Pratap R C

Apr 21, 2020

could be better in assignments and quiz..the level could have been a little higher

创建者 Christine

Dec 24, 2019

Course was a good intro to python. Some of the instructions were a bit out dated.

创建者 Radi F

May 14, 2020

A good introduction to Python and libraries such as Pandas and Numpy. Enjoyed it!

创建者 Vadhanakom K

Feb 16, 2020

Great detail with providing the fundamental of using python with pandas and NumPy

创建者 Marcos A F

Jan 07, 2020

It´s very basic, need to improve, but the course has good material and exercises.

创建者 Zhengweifan

Sep 06, 2019

a little bit easy, but quite good for a beginner. Pandas and Numpy part is good.

创建者 Patricio V

May 01, 2020

Outstanding course, all well explained except for the last question of the exam.

创建者 Pedro F

Aug 19, 2019

Good introduction to Python for DS. Maybe a little bit confusing in some points.