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

4.6

stars

42,550 ratings

About the Course

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. 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 individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

Top reviews

Dec 11, 2019

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.

May 30, 2019

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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6101 - 6125 of 7,685 Reviews for Python for Data Science, AI & Development

By Mónica N D

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Jan 31, 2024

Muchos videos no tienen traducción a español.

By ANKUSH R

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Oct 23, 2022

course is good but there is no badge ... why?

By Naina S

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Aug 2, 2022

Easy to followup and understand for beginners

By rajesh t

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Mar 17, 2022

nice cours with minimum time we can leran all

By Joe A

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Sep 17, 2021

it was nice and clear and hepful... thank you

By Sundhara D M

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Oct 9, 2020

Can give more explanation in Dataframe in API

By NIVED N

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Sep 9, 2020

Good course for absolute beginners! Good Luck

By Julius J B A

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Dec 26, 2019

Nice course. It is no waste of money and time

By Nabilah H

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Aug 29, 2019

Explained the concepts of Python very easily.

By Ibrahim S

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Oct 31, 2018

Material was great, but lab wasn't the great.

By CHALLA R S

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May 13, 2022

thanks giving wonderful opportunities for me

By Laurent D

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Feb 5, 2022

very clear and useful introduction to python

By Rudra N B

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Sep 23, 2021

I am very much glad to complete this course.

By Justin M

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Apr 21, 2020

would have liked more practice with the labs

By Diego A

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Jan 10, 2020

Great course, with great hands-on practices!

By Olli

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Mar 20, 2019

The final exam could have had more questions

By Meesala P K

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Apr 30, 2023

useful content with good examples provided.

By Aykut S

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Feb 26, 2023

Good explained but need more practise parts

By Gontse M

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Sep 7, 2022

the course taught me alot about programming

By G v

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May 27, 2020

A small confusion while calculating #8.5 %.

By Suhas D

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May 23, 2020

This course covers basics of python nicely.

By ABHINAV S

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Mar 31, 2020

Grading of the assignment is not explained.

By Jack G

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Feb 23, 2020

Great introduction Python and data science.

By Rajesh P C

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Feb 6, 2019

The course was really good and challenging.

By Sakshi m

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Jul 17, 2025

awesome experience with Coursera And IBM .