Python for Data Science, AI & Development
Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert.
Python for Data Science, AI & Development is a beginner-level online course from Coursera in Data Science. It is structured in 5 modules with 4 stated learning outcomes, over 24h 20m. Learners rate it 4.6/5 from 43.7K ratings on Coursera.
Part of our Data Science courses collection, where we compare it against 26 other courses.
Course highlights
| Provider | Coursera |
| Duration | 24h 20m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (43.7K reviews) |
| Price | Check price |
About this course
Python is a popular programming language known for its readability and versatility. It is widely used in fields like data science, artificial intelligence (AI), and software development. Learning Python helps you analyze data, build intelligent applications, and automate various tasks efficiently.
This course, Python for Data Science, AI & Development, is offered by IBM through Coursera. It is designed for beginners and requires no prior programming experience. The course is self-paced and takes approximately 24h 20m to complete. It focuses on building a strong foundation in Python.
You will start with Python basics, covering syntax, data types, expressions, variables, and string operations. The course then moves to Python data structures, including lists, tuples, sets, and dictionaries. You will also learn core programming fundamentals such as conditions, branching, loops, functions, objects, and classes.
A significant part of the course teaches you how to work with data in Python. This includes reading and writing files, and using essential libraries like Pandas and NumPy for data manipulation and analysis. Finally, you will learn to access and collect web-based data by working with REST APIs and performing web scraping with BeautifulSoup.
What You Can Do After This Python for Data Science, AI & Development Course
Upon completing this course, you will have a foundational understanding of Python programming. You can apply Python programming logic to solve problems and work with various data structures. You will be proficient in using Python libraries such as Pandas and NumPy for data-related tasks. Additionally, you will be able to access and extract web data using APIs and web scraping techniques. These skills prepare you for entry-level roles or further study in data analysis, data science, or AI development.
Who is this Python for Data Science, AI & Development Course For?
This course is ideal for absolute beginners who want to learn Python for data science and AI. It provides a solid starting point without assuming any prior coding knowledge. If you are looking for an introduction to the core concepts and tools used in this domain, this course is a good choice.
However, if you are looking for advanced topics like deep learning algorithms, this course serves as a prerequisite rather than a comprehensive solution. For more advanced studies, consider courses like the Deep Learning Specialization. If your goal is a broader professional certificate in data analytics, the Google Data Analytics Professional Certificate might be more suitable. For a free and extensive introduction to data analysis with Python, the Free Data Science with Python course from freeCodeCamp is also available.
What you’ll learn
Level and time commitment
- No prior programming experience required!
Skills you’ll gain
What this course covers
5 modulesThe 5-part outline Coursera publishes for this course, across 24h 20m.
Module 1 · Python Basics
Module 2 · Python Data Structures
Module 3 · Python Programming Fundamentals
Module 4 · Working with Data in Python
Module 5 · APIs and Data Collection
What learners rate it
Rated 4.6/5 by 43.7K learners on Coursera (checked 10 Aug 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 10 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Python for Data Science, AI & Development This |
 Coursera
|
4.6★ | Check price | 24h 20m | Quickest to finish (24h 20m) |
| Google Data Analytics Professional Certificate |
Coursera
|
4.8★ | ₹3,999 | 6 months | Highest rated (4.8★ from 181.6K reviews) |
| Deep Learning Specialization |
Coursera
|
4.8★ | ₹4,299 | 3 months | For learners past the basics · 3 months |
| Python for Data Science | Learn Python Online | Udacity | Udacity | 4.8★ | Check price | 3 months | Beginner-friendly · 3 months |
Where Data Science leads
Roles we map to Data Science on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Coursera.
Browse every course we track for one of these — courses for data scientists.
Common questions
How much does Python for Data Science, AI & Development cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Python for Data Science, AI & Development come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Python for Data Science, AI & Development take?
Coursera lists it at 24h 20m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Python for Data Science, AI & Development suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Python for Data Science, AI & Development cover?
It is organised into 5 modules, starting with Python Basics and going on to Python Data Structures, Python Programming Fundamentals, Working with Data in Python, APIs and Data Collection. The full outline is on this page.