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

4.6

stars

41,643 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

Nov 18, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

Sep 28, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

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2551 - 2575 of 7,507 Reviews for Python for Data Science, AI & Development

By Phutares S

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Jan 11, 2020

Great Example and every environment for study

By Lalit B

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Nov 21, 2019

So good teaching and practicals just loved it

By Dhiraj P

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Oct 29, 2019

very good course for python

thank you coursera

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 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 10, 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 6, 2020

Pace could have been a bit slow in APIs part

By DHRUV K

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Feb 2, 2020

It was great to revisit python fundamentals.

By andrew g

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Dec 13, 2019

concise, precise and a handy intro to Watson