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

4.6

stars

42,535 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.

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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2576 - 2600 of 7,682 Reviews for Python for Data Science, AI & Development

By Elias N P E

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Nov 11, 2022

Tiene mucho material para aprender desde cero

By Sudhir B

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Oct 24, 2021

good content for beginners.

Thank you so much

By Hitesh K

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Apr 21, 2021

This was my favorite !!!!! Clear explanations

By H C

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Mar 25, 2021

Excellent Course - would recommend it to all.

By Chethan R

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Mar 8, 2021

ITS REALLY AWESOME TO LEARN IN THIS PLATFORM.

By ISHA K

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Mar 7, 2021

Great syllabus, i acquired so many new skills

By Gerardo E

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Jan 1, 2021

step by step you will learn how to use python

By Manuel L

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Oct 19, 2020

Excelente curso, con muy buenos laboratorios.

By Muhammad V H

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Jul 22, 2020

Very clear instructions. And really good task

By Pankaj K G

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Jun 28, 2020

superb course for basic python and jupyer lab

By Marcelo Q

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May 24, 2020

after this course...just I want to know more!

By Harsh K

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May 21, 2020

A good course where I learnt a lot of things.

By Pranay D

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May 16, 2020

Very interesting, informative, and inclusive.

By Housam A A

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May 9, 2020

amazing course everything is clear and simple

By Kota V

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Apr 11, 2020

Simple and clear explanation about the topics

By Rituraj S

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Mar 3, 2020

Really helpful course for python enthusiasts.

By Prabal S

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Feb 12, 2020

Good course for Data science enthusiastic....

By Elena N

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Feb 10, 2020

I'm excited! Explanations are off the charts!

By Anna U

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Feb 5, 2020

Clear enough course for beginners-Pythonista.

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 Ahtasham F

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Jul 30, 2025

This is very beneficial for me in my career.