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
38,467 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

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.

MA

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

Filter by:

6276 - 6300 of 6,874 Reviews for Python for Data Science, AI & Development

By Anthea C

Jul 6, 2021

Some code is outdated and not correctly formatted in the quiz.

By Yawen X

May 26, 2021

from wk04 on the course content become very difficult to follow

By Isaac N L B

Jan 27, 2020

Could have been a little more detailed with better assignments.

By Wayne L

Oct 12, 2019

could use a deeper dive into numpy, pandas and their extensions

By Guille G

Jul 1, 2022

Ultimos modulos muy complejos como para ser nivel principiante

By Shubhanki G

May 13, 2020

course is bit slow and API chapter can be taken in more detail

By Himanshu P

Mar 9, 2019

I think the final assignment didn't do justice to the course.

By Germán G

Nov 18, 2021

it is difficult to understand and some programs did not work

By Patrick J

Aug 17, 2021

Lots of times the content in the videos is to fast to follow

By sajid a

May 4, 2020

A lot of typos and confusing explanations in the later labs.

By aliyan a

Mar 29, 2023

Not what I expected because no work given on specific topic

By Arpita A

Feb 25, 2023

it was long journey but not tiring instead interesting one

By Шитикова В А

Jul 8, 2022

Too hard for newbies, 50% of topics are not explained well.

By Md S S

Mar 7, 2021

This is a good course but I expected more from this course.

By Chun Y C

Feb 29, 2020

I think the python I learned from this course is too simple

By Kangdi C

Apr 13, 2019

some of the instruction in quiz is incorrect and misleading

By Linda K

Dec 29, 2021

Course material was good! Had trouble accessing libraries.

By Gustavo G

Sep 4, 2021

The course need to be more short, to catch up the concepts

By Daniel Z

Jul 10, 2020

Doesn't explain some concepts fully and has frequent typos

By Rahul S

Jun 21, 2020

Nice Course for Beginner and more practical to understand.

By Sharvari U

Oct 13, 2019

It would be good if videos and the watson studio env match

By Dmitry K

Sep 10, 2021

All over the place with bunch errors and inconsistencines

By Jon P

Apr 21, 2021

The notebooks took an exorbitant amount of time to load.

By Pedro F

Jul 22, 2020

Too basic for my knowledge but it was interesting still.