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

4.6

stars

38,700 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 FT 0 S M

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Aug 28, 2021

goof

By ly t

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Aug 28, 2021

good

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Aug 27, 2021

good

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Aug 4, 2021

good

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Aug 2, 2021

good

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Aug 1, 2021

Nice

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Jul 30, 2021

nice

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Jul 21, 2021

good

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good

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Jul 6, 2021

good

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Jun 23, 2021

Nice

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May 25, 2021

good

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May 23, 2021

nice

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Apr 26, 2021

Good

By Nandish K A

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Apr 7, 2021

best

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Apr 3, 2021

good

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Mar 26, 2021

best

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Mar 20, 2021

Good

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Mar 19, 2021

good

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Mar 14, 2021

good

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Mar 14, 2021

good

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Feb 28, 2021

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Feb 28, 2021

good

By NARENDRA K G

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Aug 19, 2020

Nice

By Naveen P

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Aug 7, 2020

Good