Build the Skills.
Solve Real Problems.
Launch Your Data Career.
Learn Python, SQL, Data Analytics, Data Engineering or Data Science through real-world projects, expert mentorship, and industry-focused training. Progress from foundational skills to solving real business and research problems.
Learn More Than Tools.
Build the Ability to Solve Problems.
Technology changes quickly. Strong professionals know how to think, solve problems, work with real data, communicate clearly and apply the right tools to the job.
Learn the Tools
Build the Professional Mindset
We don't just teach people how to use technology. We help them learn how to think, build and solve.
Build a Strong Foundation in Data
A practical introduction to the data profession for beginners, students, graduates and career switchers. Learn how data moves from a real-world problem to analysis, insight and decision-making.
Data, Thinking & the Data Profession
- ✓ Data fundamentals & terminology
- ✓ Data → Information → Insight → Decision
- ✓ Common data misconceptions
- ✓ Analytics vs Data Science vs Data Engineering
- ✓ Asking good data questions
- ✓ Introduction to the Foundation capstone
Excel & Python Fundamentals
- ✓ Excel tables, formulas & filtering
- ✓ Basic data cleaning & PivotTables
- ✓ Python fundamentals
- ✓ Problem solving with Python
- ✓ Jupyter Notebook
- ✓ Working with data using code
SQL & Databases
- ✓ Database fundamentals
- ✓ Relational databases
- ✓ PostgreSQL
- ✓ SELECT, WHERE & ORDER BY
- ✓ Aggregation & GROUP BY
- ✓ JOINs
Cleaning, Analysis & Exploration
- ✓ Pandas
- ✓ Data inspection & transformation
- ✓ Missing values & duplicates
- ✓ Data types & inconsistencies
- ✓ Exploratory Data Analysis
- ✓ Finding patterns in data
Visualization & Storytelling
- ✓ Choosing the right visualization
- ✓ Charts & visual communication
- ✓ Identifying meaningful patterns
- ✓ Data storytelling
- ✓ Turning findings into recommendations
- ✓ Presentation skills
Foundation Capstone
- ✓ Define a real-world problem
- ✓ Investigate a dataset
- ✓ Explain the analytical approach
- ✓ Present findings & visualizations
- ✓ Make data-driven recommendations
- ✓ Receive instructor feedback
From Data to Insight
By the end of Foundations, you won't just have learned a collection of tools. You'll understand how professionals approach data problems and you'll have completed your first end-to-end data project.
Become an Industry-Ready Data Professional
Go beyond the fundamentals with a 10-week specialization programme. Learn professional workflows, work with real-world data, build practical projects and develop the skills required for modern data roles.
Professional Data Core
Build the professional workflow skills shared across Analytics, Engineering and Data Science before moving into your specialization.
APIs & Data Collection
REST APIs, JSON, public datasets and professional data collection.
SQL & PostgreSQL
Professional SQL, relational modelling and working with PostgreSQL.
Git & GitHub
Version control, professional repositories and collaborative development.
ETL & Data Workflows
ETL/ELT concepts, pipeline architecture and professional data workflows.
Data Quality
Validation, testing, documentation and reproducible workflows.
Professional Project Setup
Define a problem, select data, structure a project and begin your capstone.
Choose Your Professional Specialization
Weeks 3–10 are dedicated to your chosen track, with three practical sessions every week.
Data Analytics
Turn complex data into business intelligence, actionable insights and executive decisions.
Build and present an executive intelligence dashboard using SMP or another approved real-world dataset.
Data Engineering
Build reliable systems that collect, transform, store and deliver data automatically.
Design, automate and document a professional data pipeline for a real-world dataset.
Data Science
Use statistical and machine-learning methods to build, evaluate and explain predictive solutions.
Develop, evaluate and explain a predictive model addressing a real-world problem.
Learn. Build. Apply.
Every week combines instruction, hands-on implementation and practical application so learners don't just watch—they build.
Learn
Understand the concepts, tools and professional practices behind the week's topic.
Build
Work through practical exercises and implement what you've learned.
Apply
Apply your skills to real-world problems and progressively build your professional capstone.
Professional Programme
₦150,000
Eligible Foundations graduates may receive merit-based scholarships.
Prepare for High-Demand Data Careers
Our programmes are designed to prepare you with practical, industry-relevant skills that employers expect. Depending on your specialization and continued practice, you can pursue roles such as:
Data Analyst
Turn raw data into actionable insights, dashboards and business recommendations.
Business Intelligence Analyst
Build executive dashboards and KPI reports that support strategic decision-making.
Data Engineer
Design scalable pipelines that collect, transform and deliver trusted data.
Data Scientist
Build predictive models and machine learning solutions for real-world problems.
Analytics Engineer
Bridge analytics and engineering using modern transformation workflows and data modelling.
...and more.
The programme builds transferable skills that prepare you for a wide range of modern data roles.
Modern Tools You'll Learn
Learn technologies used by modern analytics, engineering and data teams.
Programming
- Python
- Jupyter
- Git
- GitHub
Databases
- PostgreSQL
- Supabase
- SQL
Analytics
- Power BI
- DAX
- Fabric
Engineering
- APIs
- GitHub Actions
- dbt
- ETL
AI & Data Science
- Scikit-learn
- Pandas
- Databricks
- Spark
Continue Your Journey Through SIEP
Outstanding graduates may have the opportunity to apply for the Sodbridge Industrial Experience Programme (SIEP), where they contribute to real projects, collaborate with mentors, and gain hands-on industry experience.
SPA
Sodbridge People Analytics
Help collect, analyse and publish insights about Africa's emerging digital workforce through surveys, research and community engagement.
SMP
Sodbridge Market Pulse
Build automated pipelines, dashboards and reports that monitor opportunity and economic pressure across African markets using trusted public data.
Inside SIEP You'll Gain Experience In:
Data Analytics
Data Engineering
Research Reports
Team Collaboration
Everything You Need To Succeed
Professional Portfolio
Build projects that showcase practical skills to employers.
Career Coaching
Receive CV, LinkedIn and interview preparation support.
Technical Mentorship
Learn directly from experienced practitioners.
Community
Join a growing network of learners and professionals.
GitHub Reviews
Improve your code quality with expert feedback.
Capstone Projects
Solve meaningful business and research problems.
Interview Preparation
Prepare confidently for technical and behavioural interviews.
Lifelong Network
Continue learning through alumni events and future programmes.
Is This For You?
Next Cohort Starts Soon
Take the first step towards your high-paying career in data. Secure your spot in our Level 1 Bootcamp today.