Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM
About the Course
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, l...
Top reviews
EH
Jun 10, 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
Nov 30, 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.
5626 - 5650 of 7,549 Reviews for Python for Data Science, AI & Development
By Peter M
•Dec 11, 2019
Loved the introductory course, but would have wanted it to have more programming applications
By VIPUL V
•Dec 14, 2018
Clears funndamentals. But skips out many subtleties of NumPy etc. But great for fundamentals!
By Ivo M
•Dec 13, 2018
The final assignment was not really great quality and not much to do with Pandas, numpy etc.!
By Barış O
•Mar 17, 2024
its real good course but the week 5 API's topic is need to be simplified and need a briefing
By Chamath R S
•Sep 27, 2022
Would have been better if add complex programming tutorials to gain some hands on experience
By Laurie I L
•Jul 13, 2020
Wonderfully implemented and I learned a lot that I am now applying in my current work space.
By Saulet Y
•Dec 19, 2019
The instructors made the course too easy. Completed all assignments and quizzes in 2.5 hours
By karthik
•Aug 5, 2019
Gives the basics of Python used for data science, a good course for beginners to start with.
By Enrique M P
•Feb 17, 2019
The courrse is good just need a review in the finnal task because some links are not working
By Mark H
•Feb 10, 2019
Pretty good into to Python. But I'd already worked with Python before so it was nothing new.
By Tadd T
•Aug 5, 2023
Great overall but sometimes important information or skills are introduced out of sequence.
By Edgar O L C
•May 4, 2023
buen curso, pero es muy rápido y no enfoca bien todos los temas, es un curso introductorio,
By AgustÃn P
•Dec 6, 2021
The use of IBM cloud was not necessary, I think using it complicates the learning process.
By Aurelio C
•Dec 5, 2018
Te permite interactuar con Python de manera fácil. Los ejercicios propician el aprendizaje.
By winshelo S
•Jul 8, 2025
Great content and I like the fact that the reviewer took the time to correct my submission
By Yash S
•May 19, 2020
The end part was quite tedious (the peer based one)
But other than that the course is great
By K N N
•May 3, 2020
A great course for a beginner. The visual method with blocks of code is extremely helpful.
By Stephane A
•Apr 25, 2020
Great course. I learn a lot and I feel a have a solid foundation to work with Python, now.
By Miguel A O F
•Jan 29, 2020
Last exercice kind of disapointing. Guided "test" no real challenge. However, good course.
By Jonas F
•Nov 13, 2019
A pretty good intro to python, but somehow. AI is not covered. little bit confusing title.
By Deleted A
•Jul 29, 2019
Assignment is somehow disconnect with actual IBM Walson studio, should update accordingly.
By Matthew H
•Jul 10, 2019
Good information in the course, but I found the final assignment to be confusing at times.
By John D
•Jun 26, 2019
Good introductory course, fairly easy to understand with moderately challenging exercises.
By Luis S M
•Jan 7, 2025
I think Numpy and Pandas has a simple explanation while could be a little more extensive.
By Eric J B
•Nov 26, 2023
A good introduction to Python. Some things are too basic, but are interesting in general.