Purpose
This course is designed to introduce learners to Python programming, covering fundamental concepts, data structures, and advanced features. The course bridges theory with hands-on coding experience, preparing learners to build real-world applications using Python.
Cost:
Prerequisites
- Basic understanding of programming concepts (recommended but not mandatory)
- Modest computer skills
- Access to a computer with Python installed (or access to an online compiler)
- Active Zoom® account
Topics
- Introduction to Python and Development Environment (2 hours)
- Introduction to Python and its applications
- Installing Python and setting up an IDE (PyCharm, VS Code, or Jupyter Notebook)
- Running Python scripts
- Python Basics (2 hours)
- Variables and data types
- Operators and expressions
- Type conversions
- Control Flow Statements (2 hours)
- Conditional statements (if, elif, else)
- Loops (for, while)
- Break, continue, and pass statements
- Functions and Modules (2 hours)
- Defining and calling functions
- Function arguments and return values
- Creating and using modules
- Data Structures in Python (2 hours)
- Lists and tuples
- Dictionaries and sets
- List comprehensions
- File Handling (2 hours)
- Reading and writing files
- Working with CSV and JSON files
- Exception handling
- Object-Oriented Programming (2 hours)
- Classes and objects
- Inheritance and polymorphism
- Encapsulation and abstraction
- Working with Databases (2 hours)
- Introduction to SQLite and MySQL
- Connecting Python to a database
- Performing CRUD operations
- Web Scraping and APIs (2 hours)
- Introduction to web scraping with BeautifulSoup
- Making HTTP requests with requests
- Working with REST APIs
- Data Analysis with Python (2 hours)
- Using Pandas for data manipulation
- Visualization with Matplotlib and Seaborn
- Basic statistics with NumPy
- Introduction to Machine Learning (2 hours)
- Basics of Machine Learning
- Using Scikit-learn for simple ML models
- Supervised vs. Unsupervised learning
- Capstone Project (3 hours)
- Building a Python-based project
- Applying the concepts learned in the course
- Presenting and submitting the final project
Deliverables
- Write Python scripts to automate tasks and process data.
- Develop Python programs using functions, OOP, and databases.
- Work with APIs and web scraping tools.
- Perform data analysis and visualization.
- Submit a final project report.
Certificate of Completion
There are no items in the curriculum yet.
