Data Analytics
Fundamentals
Master the essential building blocks of data analysis in just 12 weeks. Transform raw numbers into meaningful insights using Excel, Python, SQL, and Tableau with real Sri Lankan business datasets.
Course Overview
Our Data Analytics Fundamentals course serves as your gateway into the exciting world of data science. Designed for beginners with no prior experience, this comprehensive program transforms mathematical concepts into practical analytical skills through immersive, project-based learning.
What You'll Master
Excel Advanced Analytics
Master pivot tables, advanced formulas, statistical functions, and data modeling techniques that transform spreadsheets into powerful analytical tools.
Python Data Manipulation
Learn pandas, numpy, and matplotlib libraries for data cleaning, analysis, and visualization. Build automation scripts for repetitive analytical tasks.
SQL Database Fundamentals
Query relational databases, perform joins, aggregations, and create complex analytical queries for extracting business insights from structured data.
Real-World Application
Every concept is immediately applied to authentic Sri Lankan business scenarios. Work with datasets from telecommunications, banking, retail, and e-commerce sectors to understand how analytics drives decision-making in local industries.
Career Impact & Success Stories
Our graduates experience immediate career advancement with measurable income increases and expanded professional opportunities across Sri Lanka's growing data economy.
Within 6 months of course completion
Within 3 months of graduation
Entry-level analyst positions
Success Testimonials
"Within three months of completing the fundamentals course, I secured a data analyst position at a leading telecommunication company. The hands-on projects with real Sri Lankan datasets prepared me perfectly for the challenges I face daily."— Kavitha Ramanayake, Business Analyst
Previously: Administrative Assistant | Now: LKR 95,000/month
"The course transformed my understanding of data completely. I went from manually creating reports to building automated dashboards that save our company 20 hours per week."— Niran Perera, Financial Analyst
Previously: Accountant | Now: LKR 110,000/month
Career Pathways
Junior Data Analyst
Entry-level positions focusing on data cleaning, basic visualization, and report generation. Typical salary: LKR 60,000-80,000.
Business Intelligence Analyst
Dashboard creation, KPI development, and stakeholder reporting. Typical salary: LKR 85,000-120,000.
Senior Data Analyst
Strategic analysis, mentoring juniors, and cross-functional collaboration. Typical salary: LKR 120,000-160,000.
Professional Tools & Techniques
Master industry-standard software and methodologies used by leading organizations worldwide. Our lab environments replicate professional data science workflows.
Microsoft Excel Advanced
Power Query, pivot tables, statistical functions, scenario analysis, and data modeling using Excel's advanced analytical capabilities.
Python Data Science Stack
Pandas for data manipulation, NumPy for numerical computing, Matplotlib and Seaborn for visualization, and Jupyter notebooks for interactive analysis.
SQL Database Management
Relational database design, complex queries, joins, aggregations, and performance optimization using MySQL and PostgreSQL.
Tableau Desktop
Interactive dashboard creation, calculated fields, parameter controls, and storytelling with data using Tableau's visualization platform.
Professional Development Environment
Cloud Computing
Google Colab, AWS basics, and cloud-based data processing fundamentals.
Version Control
Git fundamentals for tracking changes and collaborating on data projects.
Project Management
Agile methodologies applied to data analysis projects and stakeholder management.
Ethical Standards & Best Practices
Learn responsible data handling, privacy protection, and ethical analytical practices that ensure your work contributes positively to organizational and societal outcomes.
Data Ethics Foundation
Privacy Protection Protocols
Master data anonymization techniques, secure data handling procedures, and compliance with Sri Lankan data protection regulations.
Bias Recognition & Mitigation
Identify unconscious biases in data collection and analysis processes, implementing corrective measures for fair analytical outcomes.
Transparent Reporting Standards
Develop clear documentation practices, assumption disclosure, and limitation acknowledgment in analytical reports.
Professional Responsibility
Data Governance
Establish proper data lifecycle management, access controls, and audit trails for organizational data assets.
Quality Assurance
Implement validation procedures, error checking protocols, and peer review processes for analytical work.
Stakeholder Communication
Present findings with appropriate context, uncertainty quantification, and actionable recommendations.
Global Standards
Learn international best practices that make your skills transferable across borders and industries.
Certification Ready
Preparation for industry certifications including Microsoft Excel Expert and Tableau Desktop Specialist.
Continuous Learning
Develop habits for staying current with evolving standards and emerging ethical considerations in data analytics.
Perfect For You If...
This foundational course serves diverse professionals seeking to enhance their analytical capabilities and transition into data-driven roles across Sri Lanka's evolving economy.
Career Changers
Administrative Professionals
Transform routine reporting tasks into strategic analytical insights
Finance & Accounting Staff
Enhance financial analysis with advanced statistical methods
Marketing Coordinators
Measure campaign effectiveness with data-driven approaches
Students & Graduates
University Undergraduates
Complement academic studies with practical analytical skills
Recent Graduates
Enhance employability in competitive job market
Postgraduate Researchers
Strengthen research methodology with quantitative analysis
Business Professionals
Small Business Owners
Make data-driven decisions for business growth and optimization
Operations Managers
Optimize processes through performance measurement and analysis
Consultants
Enhance client value proposition with analytical capabilities
Prerequisites & Expectations
Basic computer literacy and Excel familiarity
High school mathematics (algebra and statistics helpful)
10-15 hours per week for assignments and projects
Commitment to completing all course modules
Progress Tracking & Assessment
Monitor your learning journey with comprehensive assessment methods, practical project evaluations, and continuous feedback that ensures mastery of analytical concepts.
Weekly Assessments
Structured quizzes and practical exercises that reinforce learning and identify areas requiring additional focus.
Practical Projects
Real-world analytical challenges using Sri Lankan business data, demonstrating applied knowledge and problem-solving skills.
Competency Certification
Comprehensive final evaluation measuring technical proficiency, analytical thinking, and professional presentation skills.
Learning Milestones
Weeks 1-3: Foundation Building
Excel mastery assessment, basic statistical concepts, and data cleaning principles.
Weeks 4-6: Python Integration
Programming fundamentals, data manipulation with pandas, and visualization creation.
Weeks 7-9: Database Analytics
SQL querying proficiency, complex joins, and analytical query development.
Weeks 10-12: Visualization Mastery
Tableau dashboard creation, storytelling with data, and final project presentation.
Success Metrics
Technical Proficiency
• Excel: Advanced functions, pivot analysis, statistical modeling
• Python: Data manipulation, basic automation, visualization
• SQL: Query writing, database design understanding
• Tableau: Dashboard creation, interactive reporting
Analytical Thinking
• Problem decomposition and hypothesis formation
• Statistical interpretation and insight extraction
• Pattern recognition and trend identification
• Business context integration with technical analysis
Professional Skills
• Clear communication of technical findings
• Documentation and reproducible analysis
• Ethical considerations in data handling
• Collaborative project management
Start Your Analytics Journey
Transform your career with practical data skills that make a real impact. Join hundreds of professionals who've already launched their analytics careers through our comprehensive program.