Course Pathway

Computing in Business

Turning raw data into decisions people can act on

Every business runs on data: sales figures, customer records, money moving in and out, staff and schedules. Most of it sits in spreadsheets and databases that nobody has the time to read carefully. This pathway is about using code to turn that raw data into something useful — a tool that tracks what matters, a chart that reveals a trend, a summary that answers a real question.

The program is never the point on its own. The point is the decision it helps someone make: what to stock, who to keep an eye on, where the money is really going.

The big idea

Data on its own does not help anyone. Its value comes from being turned into information — a clear answer to a question a real person actually has to decide. That transformation is what this pathway is about.

Is this pathway for you?

Every pathway has a version that looks easy and a version that is genuinely interesting. Here is an honest read on who tends to enjoy this one.

A good fit if you...

are curious about how people and organisations make decisions
like turning messy real-world data into something clear
enjoy spotting trends, patterns, and outliers in numbers
find it satisfying to build a tool someone would actually use

Think twice if you...

prefer abstract puzzles over practical, real-world problems
dislike working with spreadsheets, tables, and numbers
would rather design an experience than an analysis tool
lose interest when usefulness matters more than cleverness

None of these are permanent. They just tell you where this pathway will feel like a pull rather than a push.

What you would actually work on

You will not do all of these — they are examples of the kind of problem this pathway contains, so you can picture the work. Each one starts simple and can go as deep as you want to take it.

Manage the data a business runs on Build a tool that reads a store's inventory from a spreadsheet, then lets someone add, update, and remove items and save it back. Unglamorous, but it is exactly how a huge amount of real business software works.

Read the mood behind customer feedback Given hundreds of written comments, a program can sort them into positive, neutral, and negative — giving a business a quick read on how customers feel without a person reading every line.

Turn a year of numbers into a picture A column of monthly sales figures says very little. The same data as a chart — with the peak, the dip, and the trend marked — tells a story a decision-maker can grasp in seconds. This is the heart of the pathway: making data readable.

Predict what a customer will do next Using past customer data, you can train a model to flag who is likely to stop buying — so a business can act before they leave. A first, honest look at machine learning applied to a real decision.

Automate the tedious money math Calculating payroll, taxes, or a loan repayment schedule by hand is slow and error-prone. A program does it instantly for every employee or every month — and shows exactly how the numbers break down.

Find the needle in the haystack Given tens of thousands of transactions, which few look suspicious? Using averages, spread, and timing, you can flag unusual activity that a human would never spot by scrolling — the basic idea behind fraud detection.

Build a system that keeps a business running A scheduling system stores staff and appointments in a database, checks availability, and refuses to double-book anyone. Real operational software that has to be correct, not just clever.

The tools you would use

Everything here is done in Python, the same language you are already learning — and spreadsheets, because that is where most real business data actually lives. You will read and write CSV and Excel files, use well-known libraries to analyse data and draw charts, and sometimes store information in a database. A few problems reach for a first machine-learning model. The common thread is always turning data into something a person can use.

Grade 9 and Grade 10 in this pathway

The pathway is the same in both years. What changes is the difficulty of the problems you take on.

Grade 9

You build a small tool or analysis that turns data into information — reading a spreadsheet, producing a clear chart or summary, or a simple tool a real user could pick up and understand.

Grade 10

You take on larger systems: databases, predictive models, and multi-step analysis where several parts work together to genuinely support a decision-maker — closer to how real business software is built.

What makes a strong project here

A good project in this pathway connects a real business need to a working tool, and cares whether a person could actually use it. As you think about ideas, these questions help:

What business process or workflow could a custom tool improve or automate?
Could you analyse real data — sales, customers, money — to reveal a trend and support a decision?
Could your solution improve someone's experience of a system they already use?
What could you build that helps a business save time, cut costs, or work more efficiently?
What privacy or security concerns come with the data your project would handle?

The question that defines this pathway

Here the code is never the point — the decision it supports is. The test of a project is simple: could a real person look at what you built and make a better choice because of it? And because business data is often about real people — their money, their habits, their salaries — handling it responsibly is part of doing the job well, not an afterthought.

If you like the idea of turning a pile of raw data into a clear answer someone can act on, this is your pathway.

Computing in business: an introduction