Python for Data Science, AI & Development Course By IBM Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This beginner-friendly course by IBM introduces learners to Python programming with a focus on applications in data science, AI, and development. Structured into five core modules and a hands-on project, the course guides you from foundational concepts to practical implementation using real-world tools like Jupyter Notebooks, Pandas, and NumPy. With approximately 25 hours of total content, the course is designed for self-paced learning, making it ideal for both technical and non-technical audiences seeking to build in-demand skills in Python.

Module 1: Python Basics

Estimated time: 2 hours

Introduction to Python and Jupyter Notebooks
Understanding data types and variables
Working with expressions and basic operations
String operations and manipulation

Module 2: Python Data Structures

Estimated time: 4 hours

Exploring lists and tuples
Using dictionaries and sets
Manipulating data structures
Applications of data structures in Python

Module 3: Python Programming Fundamentals

Estimated time: 5 hours

Implementing conditions and branching
Using loops for iteration
Creating and using functions
Introduction to objects and classes

Module 4: Working with Data in Python

Estimated time: 7 hours

Using Pandas and NumPy for data analysis
Reading and writing files in Python
Working with APIs to collect data
Introduction to web scraping with Beautiful Soup

Module 5: Develop and Test Python Code

Estimated time: 0 hours

Developing Python code in Jupyter Notebooks
Testing and debugging Python scripts
Best practices for code organization

Module 6: Final Project