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

4.6

stars

35,435 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

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.

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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By koyna d

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Nov 15, 2022

ggood

By Talha B

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Nov 3, 2022

thank

By ARUNVIKAS V (

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Oct 30, 2022

good

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Oct 27, 2022

topp

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Oct 26, 2022

good

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Oct 23, 2022

good

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Oct 17, 2022

good

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Oct 10, 2022

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Sep 25, 2022

good

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Sep 24, 2022

nice

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Aug 9, 2022

SUPER

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Jul 16, 2022

Great

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Jun 19, 2022

best

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Jun 12, 2022

great

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May 7, 2022

GREAT

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Apr 27, 2022

good

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Mar 10, 2022

Good!

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Jan 27, 2022

Good.

By Gauri A

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Jan 24, 2022

great

By Shweta K

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Jan 3, 2022

*****

By Brian R M M

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Dec 4, 2021

Super

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Oct 17, 2021

Great

By Zubia A

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Aug 31, 2021

good

By Yousha A

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Aug 28, 2021

great