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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 NAMITHA G S

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Apr 3, 2021

good

By Syed A

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Mar 26, 2021

best

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Mar 20, 2021

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Mar 19, 2021

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Mar 14, 2021

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Feb 28, 2021

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Feb 28, 2021

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Aug 19, 2020

Nice

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Aug 7, 2020

Good

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Jul 15, 2020

good

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Jun 24, 2020

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Jun 23, 2020

Nice

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Jun 14, 2020

good

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May 31, 2020

GOOD

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May 28, 2020

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May 25, 2020

Best

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May 21, 2020

Good

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May 5, 2020

Good

By Prince K

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May 2, 2020

nice

By ARIJIT K

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Apr 27, 2020

good

By Pankaj S

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Apr 26, 2020

good

By Naveen S P

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Apr 21, 2020

BEST