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

4.6

stars

40,832 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

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.

Nov 18, 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 Made D

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May 20, 2022

Good

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Apr 26, 2022

Good

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Apr 16, 2022

good

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Mar 28, 2022

nice

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Mar 20, 2022

GOOD

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Jan 30, 2022

best

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Jan 28, 2022

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Jan 7, 2022

good

By Selami K

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Dec 29, 2021

cool

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Dec 12, 2021

good

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Dec 4, 2021

good

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Nov 7, 2021

Best

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Oct 14, 2021

good

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Sep 30, 2021

good

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Sep 25, 2021

None

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Sep 22, 2021

good

By Gaurav S

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Sep 10, 2021

nice

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Aug 31, 2021

good

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Aug 29, 2021

goof

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Aug 28, 2021

good

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Aug 28, 2021

good

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Aug 4, 2021

good

By GUNJAN

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Aug 2, 2021

good