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学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈

4.6
43,146 个评分

课程概述

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

热门审阅

AK

Nov 13, 2021

One of the most enjoyable course in the IBM Applied AI Professional Certificate. The lab exercises are fun to go through, giving you practical experience from which you can broaden your knowledge.

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.

筛选依据:

2626 - Python for Data Science, AI & Development 的 2650 个评论(共 7,840 个)

创建者 Anisha J

Oct 23, 2025

it is very useful to understand the concepts

创建者 Ahtasham F

Jul 30, 2025

This is very beneficial for me in my career.

创建者 Debendra N B 1

Jun 11, 2025

it was great..I got to learn a lot of things

创建者 Ishtiaq A

May 5, 2025

Excellent course material, delivery and labs

创建者 Sandesh L

Mar 8, 2025

nice but more detail would have been better.

创建者 Krupa k r V

Sep 2, 2024

I learn a so many new things by this course.

创建者 Jörg K

Jan 2, 2024

I really liked the repetitions and the labs.

创建者 D T

Oct 1, 2022

well organised and perfect course Thank you

创建者 Dinesh W

Aug 23, 2022

Very Good for me, learning help more ideas.

创建者 Jessica O L

Jun 28, 2022

I am very satisfied with the topics covered.

创建者 Mahsa B

Apr 22, 2022

a handful course to get started with Python

创建者 Michael T

Apr 15, 2022

Perfect introduction to the Python language!

创建者 Alfred L

Oct 25, 2021

Is a good course for getting started python。

创建者 OMPRAKASH S

May 18, 2021

It was a great journey full of new learning.

创建者 Stefan M

Mar 27, 2021

Nice and easy learning - lab is very helpful

创建者 Regina R B M

Jul 20, 2020

Felt great completing the course, thank you!

创建者 Aaron Z

Jun 28, 2020

A great start. Basic and easy to understand.

创建者 Maria P M V

May 9, 2020

Great course for begginers. i learned a lot.

创建者 Alexandre d C P

Feb 27, 2020

It was a good start in Python. More to come.

创建者 Prabanjan C

Feb 5, 2020

Pace could have been a bit slow in APIs part

创建者 D k

Feb 1, 2020

It was great to revisit python fundamentals.

创建者 andrew g

Dec 13, 2019

concise, precise and a handy intro to Watson

创建者 Chi W K

Aug 26, 2019

I just love it!!! Thank you for this course!

创建者 Akash V

Jul 22, 2019

Thanks for providing this wonderfull course.

创建者 Deleted A

Jul 16, 2019

best ever course. i learned many new things.