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

4.6

stars

40,940 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.

Dec 1, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

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By YADVENDER S

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Sep 20, 2024

nice

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Sep 15, 2024

nice

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Sep 15, 2024

good

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Sep 11, 2024

nice

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Sep 9, 2024

Good

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Good

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Aug 29, 2024

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Aug 24, 2024

good

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Aug 24, 2024

Good

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Aug 23, 2024

good

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Aug 21, 2024

Good

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Jul 30, 2024

good

By MANIKANDAN

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Jul 21, 2024

GOOD

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good

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Good

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Jun 12, 2024

good

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Jun 7, 2024

good

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Jun 1, 2024

good

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May 30, 2024

good

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May 29, 2024

GOOD

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May 28, 2024

good

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May 27, 2024

good

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May 27, 2024

good