🔹 Course: Introduction to Professional Coding (Beginner)

Course Overview

This beginner-friendly course introduces learners to programming concepts, syntax, and problem-solving. It is designed for learners aiming to build practical coding skills for careers in software development, data analytics, or automation.

Learning Outcomes:

• Understand basic programming concepts and logic

• Write simple programs in a chosen language (Python recommended for beginners)

• Debug and test code effectively

• Apply coding to small real-world tasks

Program Duration: 3–4 weeks (hands-on exercises included)

Certification Awarded: Certificate of Completion for Introduction to Professional Coding

Key Modules Covered

Module 1: Introduction to Programming

• What is programming?

• Applications of coding in business, finance, and technology

• Overview of programming languages (Python, JavaScript, etc.)

• Setting up the coding environment (IDE, Jupyter Notebook, VS Code)

Module 2: Basics of Python (Recommended for Beginners)

• Variables and data types (int, float, string, boolean)

• Input/output operations

• Comments and code readability

Exercise: Write a simple program to calculate total sales given quantity and price

Module 3: Control Flow

• Conditional statements: if, elif, else

• Loops: for loops, while loops

• Break and continue statements

Exercise: Create a program to check if a number is prime
Exercise: Print all even numbers from 1 to 100

Module 4: Functions

• Defining and calling functions

• Function arguments and return values

• Scope of variables

Exercise: Write a function to calculate the factorial of a number
Exercise: Create a function to convert Celsius to Fahrenheit

Module 5: Data Structures

• Lists, tuples, dictionaries, and sets

• Accessing, updating, and iterating through data

• Common operations (append, remove, sort, keys/values)

Exercise: Store and analyze a list of sales figures
Exercise: Create a dictionary to store employee details

Module 6: File Handling

• Reading and writing text and CSV files

• Working with structured datasets for simple analytics

Exercise: Read a CSV file of sales data and calculate total sales per product

Module 7: Basic Error Handling and Debugging

• Understanding error messages

• Using try and except for exception handling

• Debugging techniques

Exercise: Handle division by zero and invalid input in a program

Module 8: Introduction to Object-Oriented Programming (Optional)

• Classes and objects

• Attributes and methods

• Simple class example: Product, Employee, Customer

Module 9: Practical Mini Projects

1. Calculator: Create a command-line calculator

2. Sales Analyzer: Read sales CSV file, calculate totals and averages, display summary

3. Number Guessing Game: Interactive game using loops and conditionals

Additional Resources

• Python documentation and tutorials

• Online coding practice platforms: HackerRank, LeetCode, Codecademy

• GitHub basics for code versioning

Course Approach

• Hands-on exercises for every module

• Practical projects for real-world skill application

• Step-by-step guidance and sample solutions

• Optional quizzes for self-assessment

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