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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
43,120 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

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.

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:

5776 - Python for Data Science, AI & Development 的 5800 个评论(共 7,836 个)

创建者 Shahzaib R

Feb 24, 2023

Should have More content on Pnadas and NumPy with a few more exercises. Love the way it is structured.

创建者 Joshua M

Nov 21, 2022

It was great. Some of labs were a little tricky and felt at times like there was jump in difficulty.

创建者 sreedevi s

Feb 2, 2022

the final exam could have had more quality questions, given that the lab material was extensive enough

创建者 Ruth M

Oct 26, 2021

Im glad I have a bit of Python knowledge, otherwise this woudl have been extremely difficult to follow

创建者 PRAVEEN K T

Jun 26, 2019

It's a good course for beginners.It starts with basic of the python and move you to the advance level.

创建者 Stuti N

Apr 6, 2019

it was a really good course which included all the basic operations ,methods and attributes of python.

创建者 Anthony M R

Dec 5, 2018

Ok course, but the videos had many errors that did not coincide with the dialog. Please correct these.

创建者 Vuk P

Apr 22, 2025

The course can be passed too easily. The labs were useful and great demonstrations of learned skills.

创建者 Baijnath G

Apr 2, 2021

Enjoyed and learned a lot in this course. Thanks to the professors who made such informative content.

创建者 vinayak s

Dec 17, 2020

Overall good learning but you can make make it more in brief by giving small small practice sessions.

创建者 Venkat R

Jun 13, 2020

Explaination is good but it require more real life example to reduce the complexity of understanding.

创建者 Partha S D

Feb 19, 2019

the lectures provides an overview and nothing in details is covered. Also, please provide the slides.

创建者 Lizbeth M

Jun 22, 2024

debereria de haber un metodologia mas amigable para quienes no tienen cero conociineto en la materia

创建者 Adari A

Jan 17, 2022

The course content covered in the videos are great but do provide hand-outs for every week lectures.

创建者 Ivan L

May 28, 2021

Though it brings certain Python basics, there is rather limited practical use for the data analysis.

创建者 Ricardo S

Jan 25, 2021

It's a good course, but a lot of important concepts are skipped, especially related to Python syntax

创建者 Ishan J

Jul 15, 2019

The course covers very basics of python. A little bit of in-depth knowledge should also be included.

创建者 RITHUVARSINI A G P

May 24, 2025

Very much intrested while starting this course and completed with more knowledge! Thankyou Coursera

创建者 Felipe C Y T

Jan 29, 2025

The code example needs an update, there are some errors in the object names in some of the examples

创建者 Jeevan K

May 22, 2020

course content is good. but it is fast & person without programming language will have difficulties

创建者 Shruthi R

Apr 30, 2020

The Jupyter notebook is a great way of learning. The course covers basics of programming in python.

创建者 FELIX E N A

Nov 7, 2025

It is necesary to give more practical exercices and labs to hepls the student be fluent in python.

创建者 David V

Jul 24, 2024

Maybe some topics like web scrapping and api will be difficult, but in generally its a good course

创建者 Samuel J

Jul 21, 2024

Overall a good course! There are a couple mistakes and sometimes the questions aren't fully clear.

创建者 Dhanni S

Aug 2, 2023

Employed Effective instructional strategies overall. Suggestion: Remove the a few trick questions.