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

4.6

stars

38,831 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 Prabhu M

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Aug 31, 2019

good

By lokesh s

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Jul 10, 2019

Good

By liushuang

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Apr 26, 2019

good

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Mar 26, 2019

good

By Rahul S

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Feb 18, 2019

nice

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Jan 4, 2019

good

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Aug 27, 2018

cool

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Nov 13, 2024

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Oct 22, 2024

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Oct 21, 2023

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By Arthur d A Q

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Aug 29, 2023

Top

By Sumaila A

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Jan 15, 2023

5/5

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Jan 5, 2023

thx

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Oct 13, 2022

By Denys F

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Aug 23, 2022

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By 020_Divya P

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Aug 29, 2021

BAD

By Danny M W

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Aug 21, 2021

n/a

By prashant j

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Jun 21, 2020

III

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Nov 8, 2024

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Oct 29, 2024