Back to Python for Data Science, AI & Development

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

4.6

stars

41,345 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

Sep 27, 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.

Nov 17, 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.

Filter by:

4601 - 4625 of 7,438 Reviews for Python for Data Science, AI & Development

By A8_B1_13_pratham d

•

Apr 21, 2025

good

By Shirin S

•

Apr 19, 2025

Good

By Balaji K

•

Apr 16, 2025

nice

By MEGHA D

•

Apr 5, 2025

Nice

By Oussama

•

Apr 4, 2025

good

By GURU G S (

•

Mar 31, 2025

nice

By Ved K

•

Mar 25, 2025

good

By Silpa . R

•

Mar 19, 2025

good

By KARAN Y

•

Mar 8, 2025

good

By EL B Y

•

Mar 6, 2025

nade

By LongNTSE181506

•

Mar 6, 2025

good

By Bharat G

•

Mar 4, 2025

good

By MANASI S K

•

Mar 2, 2025

good

By Hisana N

•

Feb 21, 2025

Good

By R R

•

Feb 20, 2025

OKAY

By Priyadarshani A

•

Feb 20, 2025

good

By Liyandah t

•

Feb 12, 2025

good

By Rohan G

•

Feb 9, 2025

good

By Saïdou S

•

Feb 6, 2025

cool

By Arislanbek Q

•

Feb 2, 2025

Good

By Oskar M

•

Jan 22, 2025

good

By Rushi D

•

Jan 11, 2025

Good

By Dhivya M

•

Jan 10, 2025

nice

By KEVIN A B B

•

Dec 21, 2024

BIEN

By Supriya M

•

Dec 14, 2024

good