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

4.6

stars

37,177 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

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-Good Course for basics of python and intro to Pandas and Numpy

-More exercises related to Pandas and Numpy would be good for practice.

-The course isn't updated with the latest UI of IBM Watson

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All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.

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By Selami K

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Dec 28, 2021

cool

By SAGAR B

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Dec 11, 2021

good

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Dec 4, 2021

good

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Nov 6, 2021

Best

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Oct 13, 2021

good

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Sep 30, 2021

good

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Sep 24, 2021

None

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Sep 22, 2021

good

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Sep 10, 2021

nice

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Aug 31, 2021

good

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Aug 28, 2021

goof

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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

By Romik M

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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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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

By Arpan C

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Apr 26, 2021

Good

By Nandish K A

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Apr 7, 2021

best