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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
42,753 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

TM

Nov 17, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

DR

Sep 27, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

筛选依据:

7201 - Python for Data Science, AI & Development 的 7225 个评论(共 7,823 个)

创建者 Pamella V

Apr 3, 2020

The labs final project could be more challenging .

创建者 Kalyana R

May 1, 2019

more help required for finishing the assignments,

创建者 Daniel E

Mar 4, 2024

fallan algunos laboratorios de jupyter noteboook

创建者 Aiswarya R

May 17, 2023

very helpful to understand the basics of python

创建者 Ahmed K

Jan 8, 2024

Course needs to have more details and examples

创建者 Denish K

Oct 18, 2023

What I expect it is not that much of knowledge

创建者 Gustavo J O L

Sep 4, 2023

Too long the lessons of the 4th and 5th weeks.

创建者 pavan j

Sep 3, 2021

too fast teaching, i wont able to grasp easily

创建者 Raymond M A

Dec 4, 2019

muy complicado, no empienzan con cosas basicas

创建者 Juliane K

Oct 1, 2018

level too low. would have liked to learn more.

创建者 Anouk W

Feb 9, 2023

Very basic, API knowledge isn't really tested

创建者 Adrian A

Jun 16, 2022

It was good.

Few errors in the lab assignments

创建者 Mohamed M A

Jul 13, 2020

This course needs some advanced python for ML

创建者 Amy A

Feb 26, 2023

All was good until the API cramming section.

创建者 Pietro B

Aug 1, 2024

Some concept needed more time and attention

创建者 Reagan A

Jan 2, 2024

nice course, good for the beginners like me

创建者 Andrii R

Jun 21, 2023

Half of the laboratory work is non-working!

创建者 Mahesh K

Feb 9, 2024

good but i got to learn very little things

创建者 Biprajit S

Jun 25, 2019

Some of the things can be simplified more.

创建者 Santiago M

Sep 2, 2019

Please update the Watson Studio tutorials

创建者 Nermin K U

Oct 16, 2019

There is nothing about AI in this course

创建者 Nora C

Apr 26, 2023

I feel more applied practice is needed.

创建者 Arup K N

Jun 26, 2019

The course should be updated with time.

创建者 Agban o

Jul 30, 2023

the concept should be better explained

创建者 Diksha S

Aug 21, 2022

good level of quizes and easy language