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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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
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PHASE 1
Data Literacy
Weeks 1–3 · 5 lessons
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- What is data & why it matters
- Types of data & collection methods
- Reading charts & dashboards
- Data in everyday life
- Hands-on: Google Sheets basics
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PHASE 2
Data Analysis Tools
Weeks 4–9 · 5 lessons
▾
- Excel: formulas, pivot tables, VLOOKUP
- Google Sheets collaboration
- Introduction to SQL
- Filtering, sorting & aggregating data
- Project: Analyse school performance data
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PHASE 3
Data Visualisation
Weeks 10–15 · 5 lessons
▾
- Principles of good visualisation
- Power BI or Google Looker Studio
- Building interactive dashboards
- Storytelling with data
- Project: Sales performance dashboard
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PHASE 4
Python for Data
Weeks 16–22 · 5 lessons
▾
- Python fundamentals
- Pandas & data wrangling
- Matplotlib & Seaborn charts
- Exploratory Data Analysis (EDA)
- Capstone: End-to-end data project
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PHASE 5
Intro to Data Science
Weeks 23–28 · 5 lessons
▾
- 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
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1
Data Literacy
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2
Data Analysis Tools
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3
Data Visualisation
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4
Python for Data
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5
Intro to Data Science
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
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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 →