Back to Python for Data Science, AI & Development

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

4.6

stars

42,650 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 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.

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.

Filter by:

5001 - 5025 of 7,710 Reviews for Python for Data Science, AI & Development

By 020_Divya P

•

Aug 29, 2021

BAD

By Danny M W

•

Aug 22, 2021

n/a

By prashant j

•

Jun 21, 2020

III

By MIDORY N M

•

Oct 2, 2025

By Gireesh K

•

Sep 9, 2025

By Aung Z O

•

Aug 22, 2025

By Rithwik B

•

Jul 16, 2025

By HARIPRIYA.V

•

May 10, 2025

By Piyush S

•

Mar 13, 2025

By BHARGVI

•

Nov 8, 2024

By Edwin A V Q

•

Nov 7, 2024

By BHASKAR P A

•

Oct 30, 2024

By Varsha

•

Oct 20, 2024

By siva

•

Oct 2, 2024

By CHANDAN K

•

Sep 22, 2024

By Harsh S

•

Aug 26, 2024

By Roberto C a l

•

Jul 5, 2024

By Ali A

•

Dec 10, 2023

By Aisha S A

•

Jul 22, 2023

By Yogesh S

•

Jul 11, 2023

By yendri k

•

Jul 1, 2023

By Mohammad J R

•

Jun 30, 2023

By SURAJ M

•

Apr 17, 2023

By SANDRINE U

•

Apr 1, 2023

By Madireddi M

•

Oct 18, 2022