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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
43,405 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

JE

May 30, 2019

The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

HK

Oct 19, 2022

T​his was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.

筛选依据:

7226 - Python for Data Science, AI & Development 的 7250 个评论(共 7,778 个)

创建者 sajid a

May 4, 2020

A lot of typos and confusing explanations in the later labs.

创建者 Alexander G

Dec 31, 2025

half of the scripts in the labs and assignments are broken.

创建者 aliyan a

Mar 29, 2023

Not what I expected because no work given on specific topic

创建者 Arpita A

Feb 25, 2023

it was long journey but not tiring instead interesting one

创建者 Шитикова В А

Jul 8, 2022

Too hard for newbies, 50% of topics are not explained well.

创建者 Md S S

Mar 7, 2021

This is a good course but I expected more from this course.

创建者 陳淳鈺

Feb 29, 2020

I think the python I learned from this course is too simple

创建者 Kangdi C

Apr 13, 2019

some of the instruction in quiz is incorrect and misleading

创建者 Linda K

Dec 29, 2021

Course material was good! Had trouble accessing libraries.

创建者 Gustavo G

Sep 4, 2021

The course need to be more short, to catch up the concepts

创建者 Daniel Z

Jul 10, 2020

Doesn't explain some concepts fully and has frequent typos

创建者 Rahul S

Jun 21, 2020

Nice Course for Beginner and more practical to understand.

创建者 Sharvari U

Oct 13, 2019

It would be good if videos and the watson studio env match

创建者 Marco G

Dec 21, 2025

Servirebbero più Video-spiegazioni e più esercizi guidati

创建者 Dmitry K

Sep 10, 2021

All over the place with bunch errors and inconsistencines

创建者 Jon P

Apr 20, 2021

The notebooks took an exorbitant amount of time to load.

创建者 Pedro F

Jul 22, 2020

Too basic for my knowledge but it was interesting still.

创建者 Adam L

Mar 23, 2019

Final Project was much different the preceding content.

创建者 Nhật N

Aug 10, 2024

good it will be better if there are more pratice tasks

创建者 David R D P

Jan 4, 2022

little is explained but the laboratories clarify a lot

创建者 Fadi A S

May 16, 2021

Cool exercises but the external links are often broken

创建者 Andrei C

Apr 21, 2021

Leider die optionalen Lab funktionieren nicht. Schade!

创建者 Shailesh D

Mar 19, 2020

It didn't serve me as much content as I was expecting.

创建者 Tacio D

Nov 14, 2019

Not very good... there are better courses like this...