Foundations of Data Science Mastery
Master the essential building blocks of data science through our comprehensive program. From Python programming to machine learning fundamentals, build a solid foundation with hands-on projects and expert mentorship.
LKR
Your Gateway to Data Science Excellence
Our Foundations program is meticulously designed for aspiring data scientists who want to build strong fundamentals before advancing to specialized areas.
Comprehensive Learning Journey
This 16-week intensive program transforms complete beginners into confident data analysts ready for industry challenges. You'll master Python programming from scratch, understand statistical concepts through practical applications, and build your first machine learning models.
Each week builds upon previous knowledge, ensuring solid understanding before advancing. You'll work with real datasets from Sri Lankan businesses, creating a portfolio that demonstrates your capabilities to potential employers.
Python Programming Mastery
From basic syntax to advanced data manipulation with pandas and NumPy
Statistical Foundation
Descriptive and inferential statistics applied to real-world problems
Data Visualization Excellence
Create compelling visualizations using matplotlib, seaborn, and Plotly
Weekly Schedule
Program Outcomes
- Build 5+ portfolio projects
- Create professional GitHub profile
- Develop job-ready technical skills
- Receive industry-recognized certificate
Career Transformation Results
Our Foundations graduates consistently achieve remarkable career progress within months of program completion
Success Outcomes
Kavinda Perera
Marketing Executive → Junior Data Analyst
Secured position at leading e-commerce company with 160% salary increase after completing foundation program in July 2025.
Priyanka Liyanage
Finance Officer → Business Intelligence Analyst
Transitioned to BI role at international bank, now leading data-driven decision making initiatives across regional branches.
Chaminda Silva
Recent Graduate → Data Science Trainee
Landed trainee position at tech startup, developing predictive models for customer retention and business optimization.
Industry Placement Partners
Expected Salary Ranges
Professional Tools & Technologies
Master industry-standard tools and technologies used by leading data science teams worldwide
Core Programming Stack
Python
Primary programming language for data analysis, manipulation, and machine learning implementation
SQL
Database querying and management for extracting insights from structured data sources
Git & GitHub
Version control and collaborative development for maintaining professional code repositories
Jupyter Notebooks
Interactive development environment for data exploration and analysis documentation
Data Science Libraries
Professional Development Environment
Cloud-Based Lab Access
24/7 access to pre-configured development environments with all required tools and datasets
Professional IDE Setup
VSCode configuration with extensions for Python development and data science workflows
Database Systems
Hands-on experience with PostgreSQL and MongoDB for different data storage needs
Industry Software Training
PivotTables, Power Query, and statistical analysis for business reporting
Interactive dashboard creation for data storytelling and business intelligence
Cloud-based notebook environment for team collaboration and sharing insights
Data Ethics & Best Practices
Learn responsible data science practices and industry standards for ethical data handling and analysis
Data Privacy & Security
GDPR Compliance Training
Understanding data protection regulations and implementing privacy-by-design principles in your analysis workflows.
Anonymization Techniques
Methods for protecting individual privacy while maintaining data utility for analysis and insights.
Secure Data Handling
Best practices for data storage, transmission, and access control in professional environments.
Professional Standards
Clean Code Practices
Writing maintainable and documented code
Quality Assurance
Testing and validation of analytical results
Documentation Standards
Professional project documentation and reporting
Ethical AI Principles
Bias Detection & Mitigation
Learn to identify and address bias in datasets and machine learning models to ensure fair and equitable outcomes.
Transparency & Explainability
Develop models that can be understood and explained to stakeholders and end users.
Social Impact Assessment
Consider the broader societal implications of data science projects and recommendations.
Industry Compliance
Compliance with local data protection laws and regulations
ISO 27001 and other global data security frameworks
Banking, healthcare, and financial services compliance
Perfect For Your Career Stage
Our Foundations program is specifically designed for professionals ready to transition into data science careers
Ideal Candidates
Recent Graduates
Engineering, business, mathematics, or any degree holder looking to enter the data science field with strong foundational skills.
Career Changers
Professionals from finance, marketing, operations, or other fields seeking to transition into analytical roles with data-driven responsibilities.
Business Analysts
Current analysts wanting to upgrade their skills with programming, machine learning, and advanced statistical techniques.
Program Prerequisites
What You Don't Need
Working Professionals
Evening and weekend schedules accommodate full-time work commitments
Fresh Graduates
Transform academic knowledge into industry-ready practical skills
Career Switchers
Structured pathway from any background into data science roles
Track Your Learning Progress
Comprehensive progress tracking and performance measurement throughout your learning journey
Weekly Progress Indicators
Practical Assignments
70% WeightHands-on coding exercises and data analysis tasks that demonstrate your growing technical competence.
Concept Assessments
20% WeightShort quizzes and conceptual exercises to ensure solid understanding of theoretical foundations.
Project Milestones
10% WeightRegular checkpoints for major projects including peer reviews and mentor feedback sessions.
Performance Dashboard
Certification Pathway
Module Certificates
Earned upon completion of each major topic
Capstone Project Badge
Final project showcase completion
Professional Certificate
Industry-recognized completion credential
Real-Time Analytics
Live tracking of your learning progress and skill development across all modules
Peer Benchmarking
Compare your progress with cohort averages while maintaining privacy and motivation
Goal Achievement
Set and track personal learning objectives with mentor guidance and support
Start Your Data Science Foundation Today
Join the next Foundation cohort starting July 22nd, 2025. Transform your career with comprehensive training, expert mentorship, and guaranteed placement support.
Explore Our Other Programs
Ready for the next level? Discover our advanced programs designed for experienced professionals
Advanced Machine Learning Specialization
120,000 LKRIntensive 12-week deep dive into advanced ML algorithms, deep learning frameworks, and AI model deployment with capstone projects and cloud computing integration.
Data Science Career Accelerator
175,000 LKRPremium 20-week comprehensive program combining technical mastery with career development, including guaranteed internship placement and direct hiring partner connections.