PROFICIENCY CERTIFICATE COURSE IN PYTHON PROGRAMMING

Course Duration and Cost

Total Duration: 8-12 weeks (2-3 months)
Weekly Commitment: 2 hours per day
Course Fee: 15,000 Kenya Shillings

Course Overview

This certificate course focuses on equipping participants with fundamental to advanced skills in Python programming. Participants will learn the core concepts of Python, including variables, data types, control flow, functions, and object-oriented programming (OOP). The course covers practical applications such as web development, data analysis, automation, and more, preparing individuals for roles in software development and data science.

Course Outline

Week 1: Introduction to Python

Overview of Python programming language
Setting up Python environment (IDEs, interpreters)
Basic syntax, variables, and data types
Writing and executing Python programs

Week 2: Control Flow and Functions

Conditional statements (if, elif, else)
Looping structures (for, while)
Writing functions and handling arguments
Scope and lifetime of variables

Week 3: Data Structures in Python

Lists, tuples, and dictionaries
Sets and their operations
List comprehensions and generator expressions
Manipulating data structures

Week 4: File Handling and Modules

Reading from and writing to files
Working with different file formats (CSV, JSON)
Creating and using Python modules
Importing modules and packages

Week 5: Object-Oriented Programming (OOP)

Understanding OOP concepts (classes, objects)
Encapsulation, inheritance, and polymorphism
Constructors and destructors
Implementing OOP principles in Python

Week 6: Exception Handling

Handling exceptions with try-except blocks
Raising and catching exceptions
Handling multiple exceptions
Best practices in error handling

Week 7: Advanced Python Concepts

Functional programming features (lambda functions, map, filter)
Decorators and closures
Iterators and generators
Working with datetime and timezones

Week 8: Python for Web Development

Introduction to web frameworks (Flask, Django)
Creating web applications with Flask
Routing, templates, and static files
Deploying Python web applications

Week 9: Data Analysis with Python

Introduction to data analysis libraries (NumPy, Pandas)
Performing data manipulation and cleaning
Analyzing data with statistical functions
Visualizing data using Matplotlib and Seaborn

Week 10: Python for Automation

Automating tasks with Python scripts
Working with APIs (RESTful and web scraping)
Sending emails and manipulating files
Building automation workflows

Week 11: Introduction to Machine Learning with Python

Overview of machine learning concepts
Using libraries like Scikit-Learn for machine learning tasks
Training and evaluating machine learning models
Applying machine learning to real-world datasets

Week 12: Final Project Development

Planning and executing a Python-based project
Integrating all learned skills in a practical scenario
Presenting the final project
Graduation and certificate award ceremony

Certification

Upon successful completion, students will receive a proficiency certificate in Python Programming.