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

4.6
17,166 个评分
2,637 条评论

课程概述

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....

热门审阅

MA

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.

HM

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.

筛选依据:

2376 - Python for Data Science and AI 的 2400 个评论(共 2,616 个)

创建者 Brian h

Apr 17, 2020

For a non-programmer I found the pace too fast and often did not understand the course content.

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 02, 2019

Assignment 5 instructions were outdated and confusing and took some googling to figure out.

创建者 Mykhailo 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 03, 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 Mukul P

Jan 16, 2019

Basic Course - I would modify the title to reflect something like "BASIC / FOUNDATION / 101"

创建者 Aviv H

Sep 15, 2018

The python part is good but the pandas is outdated.. df.ix for instance has been deprecated.

创建者 Himanshu R

Apr 30, 2020

it was very easy ,it had just simple concepts which many know ,very less new thing to learn

创建者 Raviteja G

Jun 08, 2019

Pretty basic. Few items, for instance the endpoint link in the assignment, need correction.

创建者 akiilessh

Jun 04, 2020

Just basics of python. Would appreciate if related more hands-on exercises were included.

创建者 Umesh B

Jul 07, 2020

Great Course For beginners. I give three stars because i already know all the concepts.

创建者 John D

Aug 20, 2019

Content is good but course needs to be updated to reflect the changes to IBMs platform

创建者 Alejandro O

Jun 29, 2018

Not the greatest course in terms of hands on experience, but a great starting point

创建者 AYUSH S

Dec 13, 2018

overall the course was great

but the number of questions in quiz is quite less.

创建者 Mustafa A A

Jul 04, 2020

better to see the instructor not only powerpoint

and add some details and training

创建者 Rishika S

May 30, 2019

inefficient. inadequate.

concepts have been partially taught and are pretty vague.

创建者 Brent M

Dec 04, 2019

I feel there was a bunch of stuff missing to complete the peer graded assignment

创建者 Antoine M

Apr 03, 2019

final assessment should have been more inclusive to things like numpy and pandas

创建者 Daniel G

Jan 21, 2020

good structure but not enough possibilities to practice and "master" python.

创建者 Suberlin S

Jul 07, 2020

There is section in this course where the function is outdated (deprecated)

创建者 MESFIOUI R O

Apr 23, 2020

We scratch only the surface, it does not go deep enough in term of practice

创建者 Samarth B

Apr 13, 2020

Could be more descriptive with options and the process to execute programs.

创建者 Katerina K

Jun 04, 2020

The Capitol about API was not useful, the Lab exercices didnt work for me.

创建者 Sifat S

Apr 18, 2019

Week 5 assignment needs proper instruction and needs to be more organized.