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
38,797 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

TM

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.

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.

Filter by:

126 - 150 of 6,933 Reviews for Python for Data Science, AI & Development

By Robin P

•

Oct 30, 2020

A course recommendation for the devs:

https://www.coursera.org/lecture/writing-for-children/introduction-to-editing-and-proofreading-qtC7p

By ronald w

•

May 14, 2020

Week 5 final project SUCKED .. searching forums for 3 days with a URL that works ubtil it gets to 99% and fails. Really poor

By Alessandra C

•

Apr 21, 2019

Too fast paced, not very in-depth. Final project is full of spelling mistakes and not coherent with the course. Terrible.

By Michael M

•

Mar 15, 2021

Worse course ever

Zero connection between the explained material and the quizzes or between the different course parts.

By Sean G

•

Apr 24, 2019

This course is terrible - multiple typos, no support. Final project makes no sense. A total waste of time and money

By Brendan M

•

Nov 4, 2018

The final project should have had more guidance and instructions in order to complete in a timely manner.

By Mark C

•

Feb 4, 2020

The final assignment is impossible to do due to lack of information. Where is the database?

By Denis T

•

Apr 14, 2020

This was Python for beginners, the exercises couldn't have been missed even by a child

By Wesley v W

•

Feb 6, 2020

No way someone without Python experience writes the final assignment code unassisted.

By Fatjon D

•

Jul 11, 2024

There is not point in introducing graphs if you previously have not explained them

By Alaz T

•

Mar 19, 2023

This course needs some maintenance. The labs are not working (most of them)

By Charles O

•

Apr 23, 2019

Not very good, course materials do not match final project deliverables.

By Piyush G

•

Dec 17, 2018

lacks rigor and the assignments were way tooo easy....!! thumbs down!!

By Lee R

•

Jul 12, 2020

I just paid money to let IBM market their cloud services to me.

By raj m

•

Nov 5, 2018

the last test to pass course nothing is taught about it

By Ali S

•

Jun 21, 2020

Really poor course, and not well explained at all.

By Harshit D

•

Jan 26, 2019

Vague assignments- almost everyone gets stuck.

By Ines H

•

Apr 27, 2019

The last assignment is very bad explain

By rje

•

May 8, 2019

Final Assignment is very confusing

By Azat G

•

May 29, 2019

I think it is very good course to start data science with python. Modern methods and python libraries for data manipulation are included.

But as course was first created at 2017, there are some small parts of IBM Cloud setttings has been changed. This makes misunderstanding at week 4, then you need to use cloud servises.

Fortunately I understood that services became simpler. But I ask creators to fix the "creating project" part.

By Mustafa

•

Aug 22, 2024

The course effectively covers the essential Python skills needed for data engineering. The content is comprehensive, and the hands-on projects reinforce the learning. The instructors' explanations are clear and guiding. I recommend this course to anyone looking to gain knowledge in data engineering.

By Ioana B

•

Apr 21, 2020

Very good course, you can gain a lot of knowledge through well explained videos and labs.

One small issue though. There's a reference in the final Lab to a tutorial called PROVISIONING AN OBJECT STORAGE INSTANCE ON IBM CLOUD. This tutorial was not previously mentioned at all throughout the course.

By Kgomotso M

•

Sep 3, 2024

This is a great course for learning python and getting the most in terms of fundametals of data sciences and the language itself. Highly recommend it to anyone interested in Data analysis and Data Science ,Data Engineering.

By Khaing W S

•

May 23, 2019

this is the touch week for me cos there is getting trouble in creating storage , bucket and credential on ibm cloud. Finally I passed the steps and got the certification. Actually very experience week.

By Deleted A

•

Jul 1, 2019

The course was indeed helpful to learn Python, made it very simple. Though the final test had question which was not very detailed - like I was not clear where to get the GDP data for US etc.