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Back to Python for Data Science, AI & Development

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

4.6
stars
40,869 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鈥攏o 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鈥檒l 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鈥檒l 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

DR

Sep 28, 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.

PJ

Dec 1, 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.

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6651 - 6675 of 7,345 Reviews for Python for Data Science, AI & Development

By Ranajoy D

Mar 6, 2021

Expected to be more in depth and give some indepth handson context of AI and development.

By 袞懈谐屑褘褌芯胁 笑

Aug 19, 2020

袧械 褏胁邪褌邪械褌 锌褉邪泻褌懈泻懈. 小芯胁械褌褍褞 褋泻邪褔懈胁邪褌褜 薪芯褍褌斜褍泻懈 褋械斜械 懈 写芯锌芯谢薪懈褌械谢褜薪芯 褉邪斜芯褌邪褌褜 褋 薪懈屑懈 械褖褢.

By Akiilessh S

Jun 4, 2020

Just basics of python. Would appreciate if related more hands-on exercises were included.

By Lubos H

Dec 31, 2021

Sorry guys, but Siri have a better voice than your lecturers. All the way pretty boring.

By Vijay S

Dec 6, 2021

Some of the labs were so confusing, covering advanced topics without proper explanation.

By Rohail

Jun 28, 2024

The videos were great but they wouldn't teach how to use the concepts in different ways

By Umesh B

Jul 7, 2020

Great Course For beginners. I give three stars because i already know all the concepts.

By Salvatore P

Dec 2, 2021

decent, it shows the basics of python required skills through videos and jupiter labs.

By william w

Oct 17, 2021

would love to see the course to stick with the basic rather than going to HTML and API

By John D

Aug 21, 2019

Content is good but course needs to be updated to reflect the changes to IBMs platform

By Bishoi A

Jul 30, 2022

The lecture format is really dull. The assignments doesn't help to attain the skills.

By t r

Sep 11, 2023

it trains base skills for working with python in the field of data science not more.

By Obed H

Jul 24, 2021

Jumps from basics to advanced too quickly, and does not explain complex topics well

By Huang M

Oct 3, 2020

The course is easy for learning, providing us with some basic knowledges of python.

By Alejandro O

Jun 29, 2018

Not the greatest course in terms of hands on experience, but a great starting point

By AYUSH S

Dec 13, 2018

overall the course was great

but the number of questions in quiz is quite less.

By Ege D

Dec 10, 2023

Exams at the end of modules do not represent the content well. They are too easy.

By Denis K

Feb 15, 2022

It is not balanced. It is too easy in the first 3 weeks and too hard in the last.

By Mustafa A

Jul 4, 2020

better to see the instructor not only powerpoint

and add some details and training

By Rishika S

May 31, 2019

inefficient. inadequate.

concepts have been partially taught and are pretty vague.

By Srijan S

Aug 4, 2023

Not Good for complete beginners, only touched topics, haven't explain in detail.

By Mohammed B

Nov 30, 2022

Good course however there should be more emphasis on practice rather than theory

By Pablo J P R

Apr 10, 2022

some examples weren't updated to the last visual configuration of tools provided

By Brent M

Dec 5, 2019

I feel there was a bunch of stuff missing to complete the peer graded assignment

By Antoine M

Apr 3, 2019

final assessment should have been more inclusive to things like numpy and pandas