01
EXPLORE
Try the work
Take a small public dataset. Write one question, check missing values and build a chart whose title states what it shows.
Your output: Write a short reflection: what interested you, and what needs practice?
PATHWAY / TECHNOLOGY
Data & business analytics
Turn questions into evidence. Move at your own pace. These are learning milestones, not a fixed timetable.
02
EXPLORE
Choose a degree foundation
Explore BCA, BCOM as possible routes. Compare syllabi, eligibility, assessment and mode; these are examples, not mandatory or exclusive career qualifications.
Your output: Keep two programme options and verify them with the university.
03
BUILD
Practise the core skills
Work through Spreadsheets, Descriptive statistics, SQL foundations, Clear data visualisation. Start with one topic, use exercises and record your questions.
Your output: Make a small worked example for each skill.
04
BUILD
Build your first project
Choose an openly licensed dataset on transport, education or the environment. Define a narrow question, clean a copy and explain the result without claiming causation from a simple association.
Your output: Use the linked project brief and save a version you can explain.
Open project brief ↗05
MOVE FORWARD
Get feedback and revise
Could someone reproduce your numbers? Inspect duplicates and missing rows. Show how a different time window changes the conclusion, and keep personal information out of your dataset.
Your output: Record one piece of feedback and a change you made.
06
MOVE FORWARD
Prepare for the next opportunity
Explore roles such as Reporting analyst trainee, Business analytics intern, Data operations associate. Read actual role requirements and match evidence from your work to relevant tasks.
Your output: Draft a concise project case study and three questions for a mentor.
POSSIBLE FOUNDATIONS
Explore the degree behind the skills.
Other academic routes may also be relevant. Employer and admission requirements vary; no pathway guarantees a job.
A little clarity goes a long way
Your next step can
be a small one.
Try a project, compare a degree or prepare a question.