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

4.6

stars

41,028 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 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.

Jun 11, 2021

It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.

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By ANSH K

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Sep 20, 2024

good

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Sep 19, 2024

GOOD

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Sep 14, 2024

Nice

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Aug 4, 2024

Util

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Oct 11, 2023

good

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Oct 10, 2023

good

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Sep 8, 2023

Nice

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Aug 26, 2023

good

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Aug 17, 2023

Good

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Jul 21, 2023

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Jun 29, 2023

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Jun 12, 2023

Good

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Apr 5, 2023

good

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Mar 15, 2023

Good

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Jan 16, 2023

Nice

By Vaishnavi D T

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Dec 24, 2022

good

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Nov 27, 2022

good

By 75_Rishikesh B

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Sep 16, 2022

good

By David D

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Jul 4, 2022

Good

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Jun 1, 2022

good

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Feb 3, 2022

good

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Jan 20, 2022

good

By Ranjit K

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Dec 16, 2021

Good

By Vignesh V

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Oct 18, 2021

good