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

4.6

stars

38,666 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 sharikmajeedbhat

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Sep 28, 2024

nice

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Sep 24, 2024

Good

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Sep 20, 2024

good

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Sep 14, 2024

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Aug 4, 2024

Util

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Jul 5, 2024

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Oct 10, 2023

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Sep 8, 2023

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Aug 26, 2023

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Aug 17, 2023

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Jun 12, 2023

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Apr 5, 2023

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Mar 15, 2023

Good

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Jan 15, 2023

Nice

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Dec 24, 2022

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Nov 26, 2022

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Sep 16, 2022

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Jul 3, 2022

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Jun 1, 2022

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Feb 3, 2022

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Jan 20, 2022

good