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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

CB

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This course is basically designed for beginner who wants to start with python. So it covers most the stuffs a beginner wants to know. But nothing related to datascience and AI I found in this course.

JE

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The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

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4151 - 4175 of 6,743 Reviews for Python for Data Science, AI & Development

By MD K

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Oct 2, 2024

Good

By CHIRAG V

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Sep 28, 2024

nice

By Muhammad K

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Sep 28, 2024

nice

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Sep 24, 2024

GOOD

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Sep 23, 2024

good

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Sep 23, 2024

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Sep 22, 2024

good

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Sep 22, 2024

good

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Sep 20, 2024

good

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Sep 20, 2024

good

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Sep 19, 2024

nice

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Sep 15, 2024

nice

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Sep 15, 2024

good

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Sep 14, 2024

good

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Sep 12, 2024

good

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Sep 11, 2024

nice

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Sep 9, 2024

Good

By Fatima E

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Sep 5, 2024

Good

By Kateryna K

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Aug 29, 2024

Good

By Sidhardh S

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Aug 24, 2024

good

By AUSTINE O O

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Aug 23, 2024

Good

By Aromal K S B A I C C & D 2

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Aug 23, 2024

good

By Mrs. G D K J - A P - N

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Aug 20, 2024

Good

By Yudi A

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Jul 30, 2024

good

By MANIKANDAN

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Jul 21, 2024

GOOD