Coding is the activity of writing instructions that tell a computer what to do, using a programming language as the medium. These instructions break tasks into precise, step-by-step commands that a machine can follow reliably, which lets people automate repetitive work, run calculations, and build software that responds to user input.
Code uses simple building blocks such as variables to store information, control structures like loops and conditionals to decide what runs and when, and functions to package a named set of steps that can be reused whenever needed. Writing code also involves testing and debugging to find and correct errors and organizing files and folders so projects remain maintainable as they grow. Good coding practices include writing clear names for variables and functions, keeping them short and focused, and documenting what the code is intended to do so others can read and modify it later.
Learning to code starts with small, concrete projects that return visible results, such as a simple calculator, a form that collects answers, or a chart drawn from a list of numbers. These projects teach the concepts of inputs, outputs, and functions while making the abstract idea of programming feel practical and useful.
Coding is an important tool in data analysis. Data analysts and scientists use coding languages such as SQL, Python, and R to extract insights from raw data and create visualisations to inform decision making. I highly recommend DataCamp for learning to code.