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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:

5751 - Python for Data Science, AI & Development 的 5775 个评论(共 7,836 个)

创建者 David G L

Mar 26, 2020

It was a little complicated to understand the steps to follow in Watson in the last point of the last lab.

创建者 Stijn v H

Mar 15, 2020

I would love to see more practical projects early on so you really remember all the functions/methods/etc.

创建者 Samarpan D

Feb 10, 2020

Highly recommended for amateurs. Anyone who wants to learn Python and get into the field of Data Analysis.

创建者 Praveen k

Jan 20, 2019

Good course for beginners but i think more content should be included. It just give a touch up the basics.

创建者 Paras P

Jan 4, 2019

Great introductory course. Wish the final project would incorporate more of what was taught in the course.

创建者 Daniel D

Feb 2, 2025

Using JupyterLite for presenting or something like that is good, but for hands-on lab it is not suitable.

创建者 Jatin S

Jul 18, 2020

The content was good but it can always be better. It was quite easy. Exercises must be a little bit hard.

创建者 Anya B

Jun 4, 2020

Some of the Notebook executions weren't working properly/were outdated. Otherwise, a really great course!

创建者 AZIZI W

May 26, 2020

Good presentation of knowledge.However, it would be better to discuss more numpy functions in the videos.

创建者 Edward S

Apr 24, 2019

The final assignment uses new tools that are vaguely explained. Well-crafted indications could save time.

创建者 Stijn d b

Dec 29, 2018

good, but challenging for someone who never did any Python course. I was lucky i already some background.

创建者 Danny R

Oct 2, 2023

Lessons are concise, labs are thorough but quizzes are basic and don't test your coding skills in depth.

创建者 Daniyal I

Apr 13, 2023

it was quite a difficult course, mostly for quizes in skills network lab i usually faced alot of errors,

创建者 Rob S

Jul 4, 2022

Some typos and there is an error in the final exam (refers to file 'readln', when it should be 'writeln'

创建者 Jose E D D R

Jan 9, 2022

I expected a deeper explanation on certain topics of the course, but this is a good one for basic level.

创建者 Manula V

Apr 4, 2020

Very good crash course on python, but for more depth additional materials should definitely be reviewed.

创建者 Serena T

Oct 26, 2019

Learn alot on this module.I hope there will be more example on some of the topics eg creating dashboard.

创建者 ISAAC E T A

May 31, 2024

excelente, mi unico comentaria es que deberia estar en español la traduccion es muy inpresisa y confusa

创建者 Vincent T P

Apr 21, 2022

A good intro to Python for beginners. Highlighted just the essential elements needed for data analytics

创建者 Glimpse P

Jun 22, 2021

Not giving 5 stars because the last week of the course seemed bit tough for beginners. Else, very good.

创建者 Alfie B

Oct 30, 2020

Pretty good overall, some errors in the questions throughout and probably not quite challenging enough.

创建者 Parag D

Jan 30, 2020

Great course for someone trying to understand the basics of Python along with some of its applicability

创建者 Fabrice B

Apr 6, 2025

Great course to start on python. Just a few little errors in some exercices (without any consequence).

创建者 Aditi G

Aug 29, 2024

I loved the course since it had preparatory exercises which helped me to understand my learning curve.

创建者 Mateen j

Jul 17, 2024

I think the course is best but it needs to adopt some more easy examples so that a student can relate.