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

4.6
stars
21,818 ratings
3,516 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

MA
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.

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.

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3176 - 3200 of 3,480 Reviews for Python for Data Science, AI & Development

By William T

Aug 18, 2020

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

By POORVI G

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 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 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 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.

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 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 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.

By Adam L

Mar 24, 2019

Final Project was much different the preceding content.

By Fadi A S

May 16, 2021

Cool exercises but the external links are often broken