Chevron Left
返回到 Python for Data Science, AI & Development

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

4.6
星
43,099 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

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.

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.

筛选依据：

6651 - Python for Data Science, AI & Development 的 6675 个评论（共 7,832 个）

创建者 CYRIAC J

•

Jul 4, 2024

good

创建者 Mohamed K

•

Oct 10, 2023

good

创建者 Muhammad S

•

Oct 10, 2023

good

创建者 Sumanta D

•

Sep 7, 2023

Nice

创建者 vishal k {

•

Aug 26, 2023

good

创建者 Uddhav G

•

Aug 17, 2023

Good

创建者 BAYAN A A A

•

Jul 21, 2023

good

创建者 Hugo E

•

Jun 28, 2023

good

创建者 Purna P A

•

Jun 12, 2023

Good

创建者 sherif s

•

Apr 5, 2023

good

创建者 Somasundharam G

•

Mar 14, 2023

Good

创建者 Adso O

•

Jan 15, 2023

Nice

创建者 Vaishnavi D T

•

Dec 23, 2022

good

创建者 SUDEEP G

•

Nov 26, 2022

good

创建者 75_Rishikesh B

•

Sep 15, 2022

good

创建者 David D

•

Jul 3, 2022

Good

创建者 SHARMEKAA S V

•

Jun 1, 2022

good

创建者 AASTHA A

•

Feb 2, 2022

good

创建者 Suthep N

•

Jan 20, 2022

good

创建者 Ranjit K

•

Dec 15, 2021

Good

创建者 Vignesh V

•

Oct 17, 2021

good

创建者 maanaoui y

•

Sep 10, 2021

NIce

创建者 Nirav P

•

Sep 4, 2021

Best

创建者 Neeli k

•

Aug 3, 2021

good

创建者 Snehashis C

•

Aug 2, 2021

good