Certificate in Data Analysis, Visualisation & Introduction to Data Science

Data Analyst
Data Science

Certificate in Data Analysis, Visualisation & Introduction to Data Science

Numbers, stories, and insights — become a data thinker from day one

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8 months
Duration
Hybrid
Format
Lagos, Nigeria
Location
Rolling 2025
Intake
EARLY CAREER
Level
Yes
Certificate

What's included

Weekend Mentorship

Live cohort sessions with senior practitioners, every weekend.

Real-World Projects

Build a portfolio with hands-on industry case studies.

Community Access

Join a cohort of peers and the wider Firstlincoln alumni network.

Internship Pathway

Transition from learning into real industry experience through our internship program.

Weekend Mentorship Sessions

More than recorded videos — this is a live cohort.

Our Weekend Mentorship Sessions are live, instructor-led cohorts that run every weekend. Instead of watching pre-recorded lessons in isolation, you join a small group, work through real-world case studies, ask questions in real time, and get direct feedback from senior practitioners actively working in industry.

  • Live Q&A with senior practitioners every weekend
  • Real case-study breakdowns, not just slides
  • Cohort accountability and peer feedback
  • Career guidance, mock interviews and portfolio reviews
Sessions run Virtual or Physical — pick your format when you enrol.

What you'll learn

  • Understand data types, collection methods, and data quality principles
  • Use Excel and Google Sheets for professional-level data analysis
  • Write SQL queries to extract and manipulate data from relational databases
  • Build interactive dashboards using Power BI or Google Looker Studio
  • Tell compelling data stories through effective visualisation
  • Analyse data using Python: Pandas, Matplotlib, and Seaborn
  • Apply basic machine learning: regression, classification, and clustering

Prerequisites

  • Minimum age: 14 years
  • Completed Junior Secondary School or equivalent
  • Basic computer literacy — comfortable using spreadsheets
  • Access to a laptop or desktop with Microsoft Excel or Google Sheets
  • Reliable internet access for online sessions
  • No prior programming or statistics knowledge required

Who is this programme for?

  • Secondary school students (SS1–SS3) with interest in numbers and problem-solving
  • Young adults exploring careers in data, finance, or business intelligence
  • STEM students wanting to add marketable data skills to their education
  • Aspiring entrepreneurs who want to make data-driven business decisions
  • Anyone curious about how companies use data to make decisions

Curriculum

5 modules • 25 lessons • 8 months
  1. PHASE 1 Data Literacy

    Weeks 1–3 · 5 lessons
    • What is data & why it matters
    • Types of data & collection methods
    • Reading charts & dashboards
    • Data in everyday life
    • Hands-on: Google Sheets basics
    • Excel: formulas, pivot tables, VLOOKUP
    • Google Sheets collaboration
    • Introduction to SQL
    • Filtering, sorting & aggregating data
    • Project: Analyse school performance data
    • Principles of good visualisation
    • Power BI or Google Looker Studio
    • Building interactive dashboards
    • Storytelling with data
    • Project: Sales performance dashboard
    • Python fundamentals
    • Pandas & data wrangling
    • Matplotlib & Seaborn charts
    • Exploratory Data Analysis (EDA)
    • Capstone: End-to-end data project
    • What is machine learning?
    • Regression & classification basics
    • Scikit-learn first models
    • Model evaluation basics
    • Presentation: Predictive insight report

Personalized Roadmap

Start your journey with a learning path customised to your motivation and experience

Data Literacy
1
Data Analysis Tools
2
Data Visualisation
3
Python for Data
4
Intro to Data Science
5

Assessment & Certification

Assessment
Weekly projects (50%), Mid-programme dashboard (20%), Final capstone (30%)
Certification
Firstlincoln Certificate in Data Analysis & Introduction to Data Science
Delivery format
Hybrid (Online weekday sessions + Saturday workshops)

Career outcomes

Junior Data Analyst
Business Intelligence Trainee
Data Reporting Analyst
Operations Analyst Intern
Internship Pathway

From classroom to a real industry role.

Top performers progress into our Internship Pathway — a structured placement programme of 3, 6 or 12 months. Internships are either sponsorship-backed or guardian-supported, depending on the arrangement that suits the learner.

3 months 6 months 12 months
Learn how the internship pathway works →

Get Expert Guidance

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