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Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

4.6

stars

43,378 ratings

About the Course

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....

Top reviews

May 17, 2020

It is a good course if you have previous knowledge in python, in my case I did not have too much expertise in Programming and it was very difficult the las 2 weeks (4 and 5). However i learned a lot.

Nov 13, 2021

One of the most enjoyable course in the IBM Applied AI Professional Certificate. The lab exercises are fun to go through, giving you practical experience from which you can broaden your knowledge.

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2401 - 2425 of 7,775 Reviews for Python for Data Science, AI & Development

By niranjan k r

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Nov 29, 2019

Coursera is a very good place to learn and explore.

By SAURABH P

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Jul 1, 2019

It's very easy but some most useful in data science

By Marcel R

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Jun 29, 2019

Amazing course, appreciate the effort and material!

By Eric C Q

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May 6, 2019

Great course!. I passed week 2 and I can understand

By Alejandro G

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Oct 22, 2025

muy buena introducción a la programación en Python

By MANOJ A

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Sep 29, 2025

It is very useful and i learnt python very clearly

By Ishaq G

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Jul 30, 2025

Extensive and well defined learning for Beginners.

By Victor M S R

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Jun 15, 2025

Excelent course! It was really dense with content!

By REHAN K

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Apr 3, 2025

Such an amazing python course for DS beginners 🔰.

By OMKAR S

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Sep 29, 2024

It is great course for learning python with deeply

By César M

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Sep 16, 2024

Thank you very much for this opportunity to learn.

By Beka F

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Jul 2, 2023

it's is good for someone who's beginner in python.

By Sai T Z

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Jun 25, 2023

It is a complete python crush course for beginner.

By Msmkhan

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Nov 6, 2022

Thanks, IBM for organizing such a fantastic course

By Deleted A

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Oct 7, 2022

thank you for explaining everything i a good way!

By DEBASHIS B

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Jul 17, 2022

Very nicely taught and organised. I learned a lot.

By Youssef G

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Apr 26, 2022

I learned a lot from this course thanks Coursera !

By Abhay J

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Oct 22, 2021

Helpful for Understanding of python basic concepts

By VIKAS G

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Sep 18, 2021

its better course and basic to intermediate level.

By giglio b

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Aug 15, 2020

Very helpfull if you are a started in the subject.

By Yasobanta P

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Jun 28, 2020

Indeed a good and informative course for beginners

By Nikola M

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May 12, 2020

Quite fun and discovering Watson was a nice bonus.

By Souvik H

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May 11, 2020

It is a beautiful course.Lot of learned from this.

By Архипов А С

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May 5, 2020

Все понятно и очень удобно, спасибо авторам курса.