FAST TRACK DIPLOMA LEVEL 4 DATA SCIENCE
Fast Track Diploma — Level 4 Diploma in Data Science
Delivery: 100% online for Nigerian students
Hero summary
Level 4 Diploma in Data Science — an advanced, career-focused programme that turns your Level-3 basics into professional, job-ready capability. You’ll master applied statistics, data engineering foundations, intermediate Python, SQL, cloud analytics, ML pipelines, data ethics and stakeholder storytelling. Built for learners in Nigeria seeking analyst, junior data scientist or BI roles, or progression to HND/degree.
Mode: 100% online (learn from anywhere in Nigeria)
Duration: 24–48 weeks (fast-track and part-time self-paced options)
Assessment: Practical labs, coding challenges, data products and a capstone project
Level: Regulated Level 4 (equivalent to first-year higher education / higher national units)
Why this course suits Nigerian students
Nigeria-relevant datasets (fintech, telco, retail/FMCG, agriculture, public health, transport)
Low-bandwidth lessons, downloadable notebooks and offline-friendly packs
Live support and office hours scheduled for West Africa Time
Guidance on freelancing, remote roles and employer expectations in Nigeria
Local payment options and support for employer sponsorship
Who this course is for
Graduates of Level 3 (or equivalent) in data/IT/business or strong self-taught foundations
Analysts, developers or engineers upskilling into data science/BI roles
Entrepreneurs and managers wanting data-driven decision-making capability
Career changers with quantitative aptitude and commitment to hands-on practice
Entry requirements (Nigerian applicants)
Typical entry: Level 3 Diploma/A-levels/ND in a related field or 1–2 years’ relevant experience
Comfortable with basic Python, spreadsheets and SQL fundamentals
Reliable internet and a laptop/desktop capable of running Python/notebooks (cloud options provided)
Mature applicants with strong quantitative background or portfolio considered individually
Study structure & learner support
Flexible pathways: fast-track or part-time; rolling start dates
Learning materials: video lessons, annotated notebooks, datasets and checklists
Labs & clinics: weekly office hours, review sessions and portfolio workshops (WAT)
Career services: CV/LinkedIn refresh, portfolio critique, mock interviews and employer webinars
Learning outcomes
You will be able to:
Design reliable data pipelines and validate data quality
Write efficient SQL and build models suited to analytics and BI
Build, evaluate and explain machine-learning models with appropriate metrics
Create clear dashboards and executive-level narratives that drive decisions
Apply ethical, secure and compliant handling of sensitive data
Deliver a documented, reproducible end-to-end data project suitable for a hiring portfolio
Assessment & certification
Assessments: lab submissions, code reviews, mini-projects, dashboard builds and the capstone (repo + report + presentation)
Award: Level 4 Diploma in Data Science from Fast Track Diploma
Certification: digital certificate and transcript; optional printed certificate on request
What you’ll learn (core modules)
Applied Statistics & Experimentation — hypothesis tests, confidence intervals, A/B testing, causality caveats
Python for Data (Intermediate) — idiomatic pandas, vectorisation, packaging, testing and CLI scripts
Data Wrangling at Scale — schemas, data quality, validation, partitioning, scheduling and documentation
SQL & Data Modelling — dimensional modelling, window functions, performance tuning and governance basics
Machine Learning Foundations — supervised/unsupervised methods, pipelines, cross-validation, metrics and model risk
Feature Engineering & ML Ops (Intro) — preprocessing, leakage avoidance, experiment tracking and model deployment concepts
Business Intelligence & Dashboards — KPI design, storytelling, layout, interactivity and stakeholder adoption
Cloud & Modern Data Stack (Intro) — storage/compute basics, notebooks, warehouses, orchestration patterns
Data Ethics, Privacy & Security — fairness, bias, anonymisation, access control and responsible AI practice
Domain Labs (Nigeria-focused) — fintech churn, retail demand, credit risk lite, agriculture yield, public health insights
Capstone Project — end-to-end data product: ingest → model/analysis → dashboard/report with an executive brief
Career Outcomes & Progression
Roles: Data Analyst, Junior Data Scientist, BI Analyst, Reporting Analyst, Analytics Engineer (entry) Progression: HND/degree top-ups, professional certificates (cloud/data/ML), or specialisations in NLP, computer vision, time series, or ML Ops
Fees & Payment (Nigeria)
Competitive tuition with instalment plans, employer/group discounts and occasional scholarships Pay in NGN via bank transfer, card or supported mobile money options Contact Student Services for current pricing and sponsorship guidance
Frequently Asked Questions (FAQ)
Is this beginner-friendly? It assumes Level-3-level basics; motivated beginners can succeed with extra practice. Do I need a powerful laptop? Not strictly — cloud notebooks are available; local installs are optional. Will I finish with a portfolio? Yes — multiple mini-projects plus a capstone designed for employer review. Can I study while working? Yes — flexible deadlines and self-paced options are available.
FAST TRACK DIPLOMA SUPPORTS ALL STUDENTS IN NIGERIA AND ITS TOWNS AND CITIES
| Lagos | Oyo | Ilesa | Ila |
|---|---|---|---|
| Kano | Sokoto | Gombe | Shaki |
| Ibadan | Owerri | Obafemi Owode | Ijero |
| Benin City | Yola | Owo | Ikot Ekpene |
| Port Harcourt | Calabar | Suleja | Jalingo |
| Aba | Umuahia | Lavun | Otukpo |
| Jos | Ondo | Potiskum | Okigwe |
| Ilorin | Minna | Kukawa | Kisi |
| Abuja | Lafia | Gusau | Buguma |
| Kaduna | Okene | Iwo | Funtua |
| Enugu | Katsina | Bida | Abakaliki |
| Zaria | Ikeja | Ugep | Asaba |
| Ogbomosho | Nsukka | Ijebu Ode | Gbongan |
| Warri | Ado Ekiti | Epe | Igboho |
| Ikorodu | Awka | Ise Ekiti | Gashua |
| Maiduguri | Iseyin | Gboko | Bama |
| Ife | Mubi | Ilawe Ekiti | Uromi |
| Bauchi | Onitsha | Ikare | |
| Akure | Sagamu | Osogbo | |
| Abeokuta | Makurdi | Okpoko | |
| Uyo | Mokwa | Garki | |
| Badagry | Sapele |
