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

4.6

stars

43,229 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

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.

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.

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2626 - 2650 of 7,863 Reviews for Python for Data Science, AI & Development

By Mandar G

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Oct 23, 2019

Material & explanation is easy to understand.

By Mohammad Q

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Aug 21, 2019

Great course to learn Python and Data science

By Ullas m

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Dec 24, 2025

Easy to learn and effective for new learners

By Priyanshu N

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Dec 4, 2025

Interesting and build skill developed course

By Anisha J

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Oct 23, 2025

it is very useful to understand the concepts

By Ahtasham F

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Jul 30, 2025

This is very beneficial for me in my career.

By Debendra N B 1

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Jun 11, 2025

it was great..I got to learn a lot of things

By Ishtiaq A

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May 6, 2025

Excellent course material, delivery and labs

By Sandesh L

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Mar 8, 2025

nice but more detail would have been better.

By Krupa k r V

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Sep 2, 2024

I learn a so many new things by this course.

By Jörg K

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Jan 2, 2024

I really liked the repetitions and the labs.

By D T

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Oct 1, 2022

well organised and perfect course Thank you

By Dinesh W

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Aug 23, 2022

Very Good for me, learning help more ideas.

By Jessica O L

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Jun 29, 2022

I am very satisfied with the topics covered.

By Mahsa B

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Apr 22, 2022

a handful course to get started with Python

By Michael T

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Apr 15, 2022

Perfect introduction to the Python language!

By Alfred L

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Oct 26, 2021

Is a good course for getting started python。

By OMPRAKASH S

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May 18, 2021

It was a great journey full of new learning.

By Stefan M

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Mar 27, 2021

Nice and easy learning - lab is very helpful

By Regina R B M

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Jul 21, 2020

Felt great completing the course, thank you!

By Aaron Z

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Jun 29, 2020

A great start. Basic and easy to understand.

By Maria P M V

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May 9, 2020

Great course for begginers. i learned a lot.

By Alexandre d C P

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Feb 27, 2020

It was a good start in Python. More to come.

By Prabanjan C

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Feb 5, 2020

Pace could have been a bit slow in APIs part

By D k

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Feb 2, 2020

It was great to revisit python fundamentals.