Welcome to the "Python for Beginners" course! This is an exciting opportunity for you to learn one of the most popular programming languages used in the world today. Python is a versatile language that is used in a variety of fields, from web development to data analysis and scientific computing. 

This course is designed to provide you with a solid foundation in Python programming. Whether you are completely new to programming or have some experience, this course will take you through the basics of Python programming, including variables, data types, conditional statements, loops, functions, and file input/output. 

By the end of the course, you will be able to write basic Python programs, solve simple problems, and have a solid foundation to build upon as you continue to learn and grow in the field of programming. 

OBJECTIVES

Upon completion of this course, students will be able to:

1. Understand the fundamental concepts of programming using Python.

2. Write basic programs using Python language syntax.

3. Develop basic applications using Python.

4. Use Python for data analysis and manipulation.

5. Develop problem-solving skills using Python programming language.

PREREQUISITES

An elementary knowledge of files, directory and basic Linux commands are needed but we will cover these when they arise. You will also need to be comfortable with a text editor. The more sophisticated the editor the easier testing and debugging scripts become. We would recommend either Jupyter Lab (virtual lab) or VSCode (installed on your own/lab computer).

METHODOLOGY

The course will be delivered through a combination of lectures, hands-on programming exercises, and real-world problem-solving tasks. Students will be provided with a virtual lab environment where they can practice their programming skills and apply their knowledge to real-world problems.

COURSE OUTLINE

(THIS IS A 2 DAY TRAINING PROGRAMME)

DAY 1

Module 1: Introduction to Python

Overview of Python

Python Syntax and Variables

Operators and Expressions

Data types in Python

Module 2: Control Structures

Conditionals

Loops

Functions

Recursion

Module 3: Data Structures

Lists

Tuples

Sets

Dictionaries

DAY 2

Module 4: File Handling

File Operations

Reading and Writing files in Python

Module 5: Object-Oriented Programming

Classes and Objects

Inheritance

Polymorphism

Module 6: Data Analysis with Python

Numpy

Pandas