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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
43,099 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:

7151 - Python for Data Science, AI & Development 的 7175 个评论(共 7,828 个)

创建者 Xiwen L

Nov 9, 2019

Very good illustration, but in week 3, there are too many mistakes.

创建者 Sreejith B

Nov 6, 2025

Content is super basic and outdated against the industry standards

创建者 Karim M

Nov 13, 2023

there was a few glitches in the lab i hope you would consider them

创建者 ROGERIO D C C

Aug 22, 2022

The course is good, but the labs, lot of times can not be executed

创建者 Avi

Nov 4, 2019

Not the best course to take when you want to properly learn python

创建者 Heather R

Dec 25, 2018

The course had typos in the final assignment that were misleading.

创建者 Angel O

May 2, 2022

The Numpy, Panda and Rest API course wasnt as basic as it should.

创建者 Said T

Oct 8, 2021

To less information in to much content. And why AI in the header?

创建者 Larry A

Jun 30, 2023

Wish the video lessons could be clear. Some parts are confusing.

创建者 עופר ג

Jan 3, 2024

in my opinion, it is shallow. I expected to gain more knowledge

创建者 Anthea C

Jul 6, 2021

Some code is outdated and not correctly formatted in the quiz.

创建者 Yawen X

May 26, 2021

from wk04 on the course content become very difficult to follow

创建者 Isaac N L B

Jan 27, 2020

Could have been a little more detailed with better assignments.

创建者 Wayne L

Oct 12, 2019

could use a deeper dive into numpy, pandas and their extensions

创建者 Nouha A

Aug 1, 2025

web scraping stuff wasn't as understandable but generally good

创建者 Guille G

Jul 1, 2022

Ultimos modulos muy complejos como para ser nivel principiante

创建者 Shubhanki G

May 13, 2020

course is bit slow and API chapter can be taken in more detail

创建者 Himanshu P

Mar 8, 2019

I think the final assignment didn't do justice to the course.

创建者 Germán G

Nov 18, 2021

it is difficult to understand and some programs did not work

创建者 Patrick J

Aug 16, 2021

Lots of times the content in the videos is to fast to follow

创建者 sajid a

May 4, 2020

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

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.