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

4.6

stars

41,195 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

Jun 11, 2021

It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.

Sep 28, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

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By Dior R

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Jun 7, 2024

good

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Jun 1, 2024

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May 30, 2024

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May 29, 2024

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May 27, 2024

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May 26, 2024

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May 22, 2024

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May 4, 2024

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Apr 24, 2024

Nice

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Apr 19, 2024

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Apr 17, 2024

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Apr 9, 2024

Nice

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Apr 3, 2024

Good

By SUGAM K

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Mar 28, 2024

good

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Mar 6, 2024

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Feb 22, 2024

good

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Jan 27, 2024

Good

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Jan 26, 2024

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Jan 25, 2024

Good

By Kancharla M

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Jan 22, 2024

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By Neha b

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Dec 28, 2023

good

By Harsh D

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Dec 18, 2023

best

By SADKI A

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Nov 25, 2023

good