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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
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43,412 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.

PJ

Nov 30, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

筛选依据：

7276 - Python for Data Science, AI & Development 的 7300 个评论（共 7,778 个）

创建者 Mohamed M A

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Jul 13, 2020

This course needs some advanced python for ML

创建者 Amy A

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Feb 26, 2023

All was good until the API cramming section.

创建者 Pietro B

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Aug 1, 2024

Some concept needed more time and attention

创建者 Reagan A

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Jan 2, 2024

nice course, good for the beginners like me

创建者 Andrii R

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Jun 21, 2023

Half of the laboratory work is non-working!

创建者 kazim H

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Mar 14, 2026

I learned many new skills from this course

创建者 Mahesh K

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Feb 9, 2024

good but i got to learn very little things

创建者 Biprajit S

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Jun 25, 2019

Some of the things can be simplified more.

创建者 Santiago M

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Sep 2, 2019

Please update the Watson Studio tutorials

创建者 Nermin K U

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Oct 16, 2019

There is nothing about AI in this course

创建者 Nora C

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Apr 26, 2023

I feel more applied practice is needed.

创建者 Arup K N

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Jun 26, 2019

The course should be updated with time.

创建者 Agban o

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Jul 30, 2023

the concept should be better explained

创建者 Diksha S

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Aug 21, 2022

good level of quizes and easy language

创建者 Felix F

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May 31, 2022

huge problems to create an IBM account

创建者 Abhishek K

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Jan 25, 2020

Difficulty level needs to be increased

创建者 Juan P P

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Jan 23, 2020

Detail level level is not really high.

创建者 faisal a

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Sep 2, 2019

Too fast paced. Labs are very helpful.

创建者 Manpreet S

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Apr 21, 2019

GREAT PROGRAM BUT KINDLY LOOK AT LABS.

创建者 Jairo S B

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Feb 15, 2021

Good course. The labs must be improve

创建者 Sharvinee

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Jun 5, 2020

certain courses have poor explanation

创建者 Ankit K S

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Jan 29, 2020

Very little content for Data Science.

创建者 PUNLEU T

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Jul 12, 2025

This quite a good course for starter

创建者 Ronnie S

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Apr 6, 2022

mediocre course that meanders a lot

创建者 Luyang X

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Jun 1, 2019

2 stars' deduction for the last lab.