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

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

4.6
stars
27,565 ratings

About the Course

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field....

Top reviews

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.

HM

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.

Filter by:

4526 - 4550 of 4,703 Reviews for Python for Data Science, AI & Development

By Jim C

Apr 6, 2021

Information provided is useful, but the production quality is terrible.

By Alejandro Q M

May 1, 2022

The course is not very fluid and becomes overwelming by the end of it.

By Amit D

Jul 11, 2020

This course could have been more detailed and with better exercises.

By shreya m

Jul 24, 2019

The course material was not good enough to complete the assignments.

By Alexander V

Jul 12, 2019

Final Assignment posting is confusing and instructions DO NOT help.

By MD Z

Jun 18, 2019

Course material is just too bad, Explainations are very bad as well

By aziz e

May 30, 2022

bonjour

je veux mon certificat (badge de complement des cours....)

By Adarsh S

May 4, 2019

Instructions unclear. Required forum for certain things to work.

By Latoya B

Sep 15, 2020

Lessons are easy and don't really relate to the final project.

By Yaakov A S

Dec 7, 2021

Needs a lot of improvement, and questions should be harder.

By Erika G

Mar 21, 2022

Not enough lecture, examples aren't comprehensive enough

By Amy D

Sep 24, 2019

There were numerous errors, and it was hard to follow.

By Akshay N

Mar 4, 2021

The coding was at a very high level. Not very useful

By Salvador C

Dec 30, 2019

The content is abit outdated with links not working.

By Abhinav V

May 15, 2020

Explanation not satisfactory

Animations are very bad

By Lukas H

Mar 19, 2021

I would expect something like it is on Codeacademy

By Ashish D

Dec 22, 2019

Only worth an introductory course.

Better avoided.

By Ritayan G

Jun 9, 2020

Good for basics. I was expecting something else.

By KARTHIK S

Sep 13, 2019

There is no deep contents for AI in this course.

By Rudy S

Jun 25, 2018

Lots of typos in labs, which are not graded.

By Larry P

Mar 2, 2020

so fast for a beginner to understand

By Michel R

Apr 30, 2020

Exercise a little bit disappointing

By Abdulrahman N

Jul 17, 2022

many htings are not understandable

By Jasper F

May 31, 2019

the lab is not clear and missing

By Davide B

May 17, 2019

to many time spent on IBM Watson