Chevron Left
Back to Python for Data Science, AI & Development

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

4.6
stars
40,832 ratings

About the Course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. 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 anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles....

Top reviews

EH

Jun 11, 2021

It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.

PJ

Dec 1, 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.

Filter by:

2201 - 2225 of 7,332 Reviews for Python for Data Science, AI & Development

By Dovono T M W

•

Jul 30, 2019

it was fun, although i still haven not receive my badge

By Varinja R

•

Jun 10, 2019

Great introduction course into python. Great exercises.

By Greta T

•

Jan 30, 2019

I only audited this course but I loved the introduction

By Deleted A

•

Aug 2, 2018

A great start in how to use python to access your data!

By Nestor F L G

•

Apr 28, 2025

Muy buen contenido, excelente la forma de explicación.

By Kaviya R

•

Jan 26, 2025

Thank you for your proper notes and good communication

By Francisco M

•

Oct 26, 2024

Extraordinario y 100% recomendable para principiantes.

By Vincent k

•

May 29, 2024

Well organized course. Precise and easy to understand.

By Manjunadh K

•

Sep 29, 2023

Amazing course for both beginners and revision purpose

By sundas i

•

Jun 11, 2023

very helpful, easy to understand course

thanks coursera

By Neha K

•

Jan 1, 2023

Thank you IBM for such a wonderful, informative course

By Mahnoor N

•

Aug 13, 2022

Very Helpful in understanding the basics of the course

By Isioma N

•

Jul 29, 2022

Great course to learn the basics of python programming

By mohmov@yahoo.com

•

May 8, 2022

It was great , But I think it could have more hands-on

By Varun A

•

Feb 11, 2022

Very thorough experience for learning basics of python

By Muhammad A

•

Jul 14, 2021

Material is organized, but lectures need more details.

By Yaffa S

•

Jul 1, 2021

Very concise, interesting and valuable course. Thanks.

By Anupam P

•

May 10, 2021

Enjoyed the course. learned a lot, strongly recommend.

By Johnny K

•

Feb 14, 2021

It is very good to understand Python for Data Science.

By Sarkis K

•

Oct 12, 2020

It was a good refresher and I learned some new tricks!

By Uduyok S A

•

Jul 7, 2020

Great course, lessons were thorough and easy to follow

By Nishchay O

•

Jul 1, 2020

Some errors but overall, great layout and interactive.

By Nanda R R

•

May 25, 2020

This course is amazing, thank you IBM for the occasion

By Suhast P

•

May 13, 2020

It was a very useful course in terms of my internship.

By Ahmed

•

May 13, 2020

great introductory course, that take you step by step.