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

4.6

stars

35,390 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

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.

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.

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By Shola O

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Jul 1, 2022

cool

By AARABH S

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Jun 30, 2022

good

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Jun 16, 2022

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Apr 26, 2022

Good

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Apr 15, 2022

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Mar 28, 2022

nice

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Mar 20, 2022

GOOD

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Mar 13, 2022

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Feb 22, 2022

good

By Krishna D A D

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Jan 30, 2022

best

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Jan 27, 2022

good

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Jan 6, 2022

good

By Selami K

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Dec 28, 2021

cool

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Dec 11, 2021

good

By 066-Adarsh G

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Dec 4, 2021

good

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Nov 6, 2021

Best

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Oct 13, 2021

good

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Sep 30, 2021

good

By Nelson F

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Sep 24, 2021

None

By AHMED A I M

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Sep 22, 2021

good

By Gaurav S

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Sep 10, 2021

nice

By Bambang P A

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Aug 31, 2021

good

By FT 0 S M

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Aug 28, 2021

goof

By ly t

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Aug 28, 2021

good