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

21,416 ratings
3,444 reviews

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

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.

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.

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3101 - 3125 of 3,412 Reviews for Python for Data Science, AI & Development

By piyush s

Jul 30, 2020

Still need some course refinement in terms of content and examples can be more.

By Huỳnh V T A

Aug 15, 2020

This course is very easy, so it doesn't advance my skills in Numpy or Pandas

By Daniel G

Jan 21, 2020

good structure but not enough possibilities to practice and "master" python.

By Suberlin S

Jul 7, 2020

There is section in this course where the function is outdated (deprecated)


Apr 23, 2020

We scratch only the surface, it does not go deep enough in term of practice

By Samarth B

Apr 13, 2020

Could be more descriptive with options and the process to execute programs.

By Katerina K

Jun 4, 2020

The Capitol about API was not useful, the Lab exercices didnt work for me.

By Sifat S

Apr 18, 2019

Week 5 assignment needs proper instruction and needs to be more organized.

By Vyacheslav I

Nov 12, 2019

Too little about too much. Nothing is explained and nothing really shown.

By Francis K W

Oct 21, 2019

Well detailed.

However, would have loved to get more learning on dashboard

By Brenda K

Aug 3, 2019

Only for learning the basics of python. not much on application examples.

By William T

Aug 18, 2020

The final project can become confusing, and almost impossible to pass


Jul 5, 2019

The course could have been more engaging for a beginner level student

By Jamie B

Nov 5, 2018

There is some incorrect content and videos that do not work properly.

By Eleanor D

Apr 21, 2020

Did not like using IBM Watson - was to complex and not user friendly

By melek h

Apr 30, 2020

Nice training but final assignment's last optional one is not clear

By Xiwen L

Nov 9, 2019

Very good illustration, but in week 3, there are too many mistakes.

By Avi

Nov 5, 2019

Not the best course to take when you want to properly learn python

By Heather R

Dec 25, 2018

The course had typos in the final assignment that were misleading.

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


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 sajid a

May 4, 2020

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

By Saimon S

Mar 7, 2021

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