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
38,420 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

TM

Nov 17, 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.

DR

Sep 27, 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.

Filter by:

5351 - 5375 of 6,860 Reviews for Python for Data Science, AI & Development

By Petter W

•

Oct 18, 2019

Good hands on Python for beginners. A bit too easy though.

By Linhao J

•

Jun 26, 2019

The last project using the interactive interface is buggy.

By LINGAPUR S G

•

Oct 24, 2022

i learned about list and tuple ,strings ,data structures

By kommaddi h k

•

Jul 29, 2022

Good for begginers.But they must basic python programming

By Khutso F

•

Jun 27, 2020

There has to be simplicity when explaining some concepts.

By Deleted A

•

May 2, 2019

A brisk overview, could use a few more example exercises.

By Sachin M

•

Jun 7, 2021

great course but need to imrove in the content of week 5

By Divyansh K

•

Sep 25, 2024

good course but didn't get certificate after completion

By KAPISH G

•

Sep 22, 2024

it was too good . Thank you so much to give this course

By Aritharan D

•

Mar 16, 2023

Very useful to learn AI and Data science through python

By sandeep s 2

•

Feb 26, 2022

course is very nice but when will i get the certificate

By Dereje H

•

Sep 24, 2021

I learn a lot from this course and I really enjoyed it

By Jesus A A

•

Aug 4, 2021

Buen curso, comienza desde los basico y es muy practico

By benoit.hubert@live.Be

•

Feb 20, 2021

Exercises sometimes not in line with the beginner level

By Budhi K A

•

May 31, 2020

Learner friendly and easy to understand. Well captured!

By William A

•

Apr 13, 2020

Some of the labs didn't work, but otherwise great class

By Rifqa W

•

Jun 25, 2019

very short and basic but helpful to start using python.

By Sven D

•

Mar 31, 2019

Final assignment instructions where a little confusing.

By Monica R

•

Aug 30, 2024

It's good. I wished there were more fun practice sets.

By E-61 A B

•

Aug 6, 2024

There must be atleast one small project at last videos

By DAINER S R P

•

May 13, 2024

es un muy buen curso aunque se dificulta por el idioma

By Juan C H L

•

Oct 3, 2023

Hands on labs experienced some issues loading properly

By Afiq F

•

Jan 24, 2022

course for quickly learn basic about Python languange.

By leo s g y

•

Dec 3, 2020

it's basic. it will be better if contains more content

By VAIBHAV R

•

Jul 14, 2020

Good course but , but everything is not given in depth