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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:

2426 - Python for Data Science, AI & Development 的 2450 个评论(共 7,840 个)

创建者 REHAN K

Apr 3, 2025

Such an amazing python course for DS beginners 🔰.

创建者 OMKAR S

Sep 29, 2024

It is great course for learning python with deeply

创建者 Cesar A M D

Sep 16, 2024

Thank you very much for this opportunity to learn.

创建者 Beka F

Jul 2, 2023

it's is good for someone who's beginner in python.

创建者 Sai T Z

Jun 25, 2023

It is a complete python crush course for beginner.

创建者 Msmkhan

Nov 6, 2022

Thanks, IBM for organizing such a fantastic course

创建者 Deleted A

Oct 7, 2022

thank you for explaining everything i a good way!

创建者 DEBASHIS B

Jul 17, 2022

Very nicely taught and organised. I learned a lot.

创建者 Youssef G

Apr 26, 2022

I learned a lot from this course thanks Coursera !

创建者 Abhay J

Oct 22, 2021

Helpful for Understanding of python basic concepts

创建者 VIKAS G

Sep 17, 2021

its better course and basic to intermediate level.

创建者 giglio b

Aug 15, 2020

Very helpfull if you are a started in the subject.

创建者 Yasobanta P

Jun 28, 2020

Indeed a good and informative course for beginners

创建者 Nikola M

May 12, 2020

Quite fun and discovering Watson was a nice bonus.

创建者 Souvik H

May 10, 2020

It is a beautiful course.Lot of learned from this.

创建者 Архипов А С

May 5, 2020

Все понятно и очень удобно, спасибо авторам курса.

创建者 Fardin K

Apr 22, 2020

This is one of the finest course I have ever done.

创建者 Patthanan M S

Mar 12, 2020

This is a great course. It's easy to understand :)

创建者 Robert F

Feb 16, 2020

Pretty Decent Course in Intro to Python and AI ...

创建者 Junsoo P

Jan 21, 2020

Nice short course on fundamental Python libraries.

创建者 Adeel T

Dec 14, 2019

Excellent Course. I learned every step of the way.

创建者 praveen k

Nov 25, 2019

great fun during the course so happy to registered

创建者 Ariful H K

Aug 14, 2019

Great Learning....Lab should be more illustrative.

创建者 Axel G

Feb 11, 2019

Very clear explanations and cool labs to practice.