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

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43,120 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.

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：

6301 - Python for Data Science, AI & Development 的 6325 个评论（共 7,832 个）

创建者 Salvatore P

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Dec 27, 2019

A fine introduction but nothing more.

创建者 xiaoqiang

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Dec 28, 2018

good course, but not that challenging

创建者 Mratyunjay K

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Aug 15, 2018

More practice exercises would be cool

创建者 Babel K

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Sep 24, 2024

Très bon cours et très bien expliqué

创建者 Mamatha B

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Nov 7, 2022

GOOD IT A BEST PLATFORM FOR STUDENTS

创建者 haider a

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Sep 9, 2022

Focus on some project in this course

创建者 Augustin R

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Jul 4, 2022

Very effective to learn and Practice

创建者 Javier R

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May 27, 2022

Some code examples were not working.

创建者 Maxwell P

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Nov 18, 2021

very detailed and easy to understand

创建者 David M

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Jun 14, 2021

well laid out course. Thank you IBM.

创建者 Anastasiya K

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Feb 12, 2021

Limited in information and use cases

创建者 Den M

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Sep 14, 2020

Nicely done. However it is too easy.

创建者 Marco S S

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Jun 20, 2020

It was good to revisit some details.

创建者 TIMOTHY O

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May 17, 2020

some of the materials were confusing

创建者 Olatunde O A

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Apr 13, 2020

Great course for an almost beginner.

创建者 Rishabh M

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Jan 7, 2020

Speech to text notebook didn't work.

创建者 Tamás M

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Dec 4, 2019

Good for very basic python maneuvers

创建者 chee k L

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Nov 4, 2019

Good overview of python programming.

创建者 saranya s

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Sep 17, 2024

Videos need to be more explanatory.

创建者 Surya H K

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Jan 30, 2024

Few coding exercises were not clear

创建者 Hitesh k p

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Oct 5, 2021

i can not download my certificate .

创建者 Pathipati A K

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Sep 30, 2021

Need more Explore on Opps concepts.

创建者 A. F A

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Apr 26, 2021

I think this is a very good course.

创建者 Tapan K

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Jul 14, 2020

Structured, well-paced and helpful.

创建者 Renato C

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May 14, 2020

the Watson lab guide is not updated