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.
Build a Strong Foundation in Data
A practical introduction to data analytics for beginners, students, graduates and career switchers. Learn how to understand business problems, explore datasets, analyse information and communicate meaningful insights using Microsoft Excel and Python.
Choose How You Want to Learn
All learners can access the Foundations learning experience. Choose the participation route that suits your learning goals.
Audit Learner
Free
Learn the fundamentals, follow the lessons and participate in the learning community without paying a programme fee.
- ✓ Access to recorded lessons and learning materials
- ✓ Participation in designated live sessions
- ✓ Access to practical exercises
- ✓ Access to the learning community
Audit Learner Limitations
Audit Learners are not eligible for graded assessments, instructor feedback, Foundations certification, leaderboard consideration, tuition credits, merit-based scholarships or practicum opportunities.
Certified Learner
₦20,000
Take part in the full learning experience and complete the assessments required for Foundations certification.
- ✓ Everything included in the Audit route
- ✓ Graded practical assignments and assessments
- ✓ Instructor feedback on submitted work
- ✓ Eligibility for a Foundations certificate
- ✓ Eligibility for the learner leaderboard
- ✓ Consideration for selective practicum opportunities
Additional Benefits
Eligible learners may qualify for a Foundations tuition refund or a tuition credit towards the Professional Programme. Top-performing eligible learners may also qualify for merit-based scholarships.
Your Six-Week Learning Journey
Progress from understanding business problems to analysing data and presenting evidence-based recommendations.
Business Understanding & Data Foundations
- ✓ Introduction to data analytics
- ✓ Understanding business problems
- ✓ Turning problems into analytical questions
- ✓ Understanding structured datasets
- ✓ Rows, columns, variables and data types
- ✓ Introduction to data quality
- ✓ Preparing the data analyst workspace
Weekly Output
A set of analytical questions and an understanding of the dataset and business problem.
Excel I – Data Exploration & Analysis
- ✓ Introduction to Excel for data analysis
- ✓ Importing and exploring datasets
- ✓ Spreadsheet organisation and formatting
- ✓ Sorting and filtering data
- ✓ Basic formulas and functions
- ✓ Conditional calculations
- ✓ Summary statistics
Weekly Output
An Excel workbook containing initial data exploration, calculations and preliminary findings.
Excel II – Advanced Analysis & Visualisation
- ✓ PivotTables and summary reports
- ✓ Comparing categories and markets
- ✓ Analysing trends and differences
- ✓ Identifying missing values and duplicates
- ✓ Basic data validation and preparation
- ✓ Creating charts and PivotCharts
- ✓ Interpreting and communicating findings
Weekly Output
An Excel workbook containing PivotTable analysis, comparisons, charts and preliminary insights.
Python I – Python & Exploratory Data Analysis
- ✓ Introduction to Python for data analysis
- ✓ Preparing the Python workspace
- ✓ Jupyter Notebook fundamentals
- ✓ Introduction to pandas
- ✓ DataFrames and Series
- ✓ Loading and inspecting CSV files
- ✓ Selecting and filtering records
- ✓ Descriptive statistics and exploration
Weekly Output
A Python notebook containing dataset inspection, exploratory analysis and preliminary findings.
Python II – Data Cleaning, Visualisation & Insights
- ✓ Identifying missing values and duplicates
- ✓ Handling inconsistent entries
- ✓ Correcting data types and formatting
- ✓ Cleaning and validating data with pandas
- ✓ Grouping and aggregation with groupby()
- ✓ Introduction to Matplotlib and Seaborn
- ✓ Creating and interpreting charts
- ✓ Communicating insights and limitations
Weekly Output
A cleaned dataset, Python notebook and 3–5 meaningful visualisations with written interpretations.
Capstone Project & Presentation
- ✓ Define the business problem
- ✓ Formulate analytical questions
- ✓ Explore and prepare the dataset
- ✓ Conduct analysis using Excel or Python
- ✓ Present visualisations and key findings
- ✓ Develop evidence-based recommendations
- ✓ Explain and defend conclusions
- ✓ Receive instructor feedback
Weekly Output
A completed analytical workbook or notebook, supporting findings and a final project presentation.
Learn, Practise & Apply
Our learning experience combines structured lessons, independent practice and guided interaction to help learners build practical data skills progressively.
Recorded Lessons
Learn concepts and follow practical demonstrations at your own pace.
Weekly Live Sessions
Participate in guided exercises, discussions, questions and practical demonstrations.
Practical Assignments
Reinforce each week's learning through exercises and practical deliverables.
From Data to Insight
By the end of Foundations, you will understand how to approach a business problem, work with structured data, perform practical analysis and communicate findings. You will also complete your first end-to-end data analytics project.
Develop Professional Data Skills Through Practical Projects
Move beyond the fundamentals with focused professional specialisations. Develop deeper technical skills, work with real-world data and build practical projects that demonstrate your ability to solve data problems.
Shared Professional Core
Begin with the professional practices shared across Data Analytics, Data Engineering and Data Science. Build the foundation for working on structured, documented and reproducible projects.
Problem Framing
Translate business needs into clear technical objectives and practical project questions.
Data Sourcing & Assessment
Identify relevant data sources and assess their suitability, quality and limitations.
Git & GitHub
Understand version control, repository management and professional project collaboration.
Project Organisation
Structure projects, document workflows and establish reproducible working practices.
Choose Your Professional Specialisation
Spend 11 weeks developing deeper technical skills in your chosen field through guided instruction, practical exercises and an industry-relevant capstone project.
Data Analytics
₦200,000
Turn organisational data into meaningful insights, business intelligence and informed decisions.
Key Skills
Develop a complete business intelligence solution using SQL, Python and Power BI to analyse a real-world business problem and communicate evidence-based recommendations.
Explore the complete curriculum and weekly topics.
View Detailed Syllabus picture_as_pdfData Engineering
₦250,000
Build dependable data pipelines and systems that collect, transform, validate and deliver data.
Key Skills
Design and implement an end-to-end data pipeline that extracts data from files or APIs, loads and transforms it, applies quality checks and supports repeatable execution.
Explore the complete curriculum and weekly topics.
View Detailed Syllabus picture_as_pdfData Science
₦200,000
Apply statistical reasoning and machine learning to investigate data and develop predictive solutions.
Key Skills
Develop, evaluate and explain a machine learning solution to a real-world problem, demonstrating data preparation, model comparison and responsible interpretation of results.
Explore the complete curriculum and weekly topics.
View Detailed Syllabus picture_as_pdfLearn. 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 each module.
Build
Work through practical exercises and assignments that reinforce your technical skills.
Apply
Apply your skills to a practical capstone project and demonstrate your ability to solve real-world data problems.
Each specialisation includes guided instruction, practical assignments and capstone development. Learners should also dedicate time to independent practice outside scheduled sessions. Entry requirements apply.
Invest in Your Professional Growth
Choose a specialisation that aligns with your interests and professional goals. Each programme combines focused instruction, practical exercises and project development.
Data Analytics
₦200,000
Develop advanced analytical, business intelligence, SQL and dashboard development skills.
Data Science
₦200,000
Develop practical statistical, machine-learning and predictive modelling skills.
Data Engineering
₦250,000
Learn to build data ingestion, transformation, storage and pipeline workflows.
What's Included
A structured learning experience designed around practical skill development and project work.
Progress from Foundations
Certified Foundations Learners who meet the Academy's eligibility requirements may qualify for tuition credits or merit-based scholarships when progressing into the Professional Programme.
Foundations Tuition Credit
Eligible Certified Learners may apply their ₦20,000 Foundations tuition credit towards their Professional Programme fees.
Merit-Based Scholarships
Outstanding eligible Foundations Learners may qualify for merit-based scholarships towards their chosen specialisation.
Tuition credits, scholarships, certification and other progression benefits are subject to the Academy's published eligibility and assessment requirements.
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
- Power Query
Engineering
- APIs
- GitHub Actions
- dbt
- ETL
AI & Data Science
- Scikit-learn
- Pandas
- Azure Data Factory & Cloud Storage
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.