Python Data Science & Machine Learning
Master the art of extracting insights from data using Python, pandas, scikit-learn, and cutting-edge ML frameworks. Become an AI-powered problem solver in 14 weeks.
Course Overview
Transform raw data into actionable insights using the most powerful tools in data science and machine learning
Data Analysis & Visualization
Master Python, pandas, NumPy, and Matplotlib to analyze complex datasets and create compelling visualizations that tell data stories.
Machine Learning Algorithms
Learn supervised and unsupervised learning techniques, from linear regression to neural networks, using scikit-learn and TensorFlow.
Real-World Applications
Apply AI to solve business problems including fraud detection, recommendation systems, and predictive analytics using industry datasets.
Your AI Learning Journey
14 weeks of progressive skill building from data basics to advanced machine learning
Python Fundamentals
Weeks 1-3
- • Python programming essentials
- • Data structures and algorithms
- • Object-oriented programming
- • NumPy for numerical computing
- • Pandas for data manipulation
Data Analysis
Weeks 4-6
- • Exploratory data analysis
- • Statistical analysis techniques
- • Data cleaning and preprocessing
- • Matplotlib and Seaborn visualization
- • Interactive dashboards with Plotly
Machine Learning
Weeks 7-10
- • Supervised learning algorithms
- • Unsupervised learning techniques
- • Model evaluation and validation
- • Feature engineering and selection
- • Scikit-learn ecosystem
Deep Learning & AI
Weeks 11-14
- • Neural networks with TensorFlow
- • Computer vision applications
- • Natural language processing
- • Model deployment strategies
- • Capstone AI project
Master Industry-Standard Data Science Stack
Comprehensive toolkit used by Fortune 500 companies and leading AI research labs worldwide
Core Programming & Analysis
Python 3.11+
Primary language for data science with extensive ecosystem
Pandas & NumPy
Data manipulation, cleaning, and numerical computing foundations
Jupyter Ecosystem
Interactive development with Notebook, Lab, and collaborative features
Google Colab Pro
Cloud computing with GPU/TPU access for large-scale modeling
Data Visualization & Statistical Analysis
Matplotlib & Seaborn
Statistical plotting, publication-quality charts, and advanced visualizations
Plotly & Dash
Interactive dashboards, 3D visualizations, and web-based analytics
SciPy & Statsmodels
Advanced statistical testing, hypothesis testing, and scientific computing
Machine Learning & Deep Learning
Scikit-learn
Comprehensive ML algorithms, preprocessing, and model evaluation
TensorFlow 2.x
Production-grade deep learning with Keras integration
PyTorch
Research-focused deep learning with dynamic computation graphs
Hugging Face
Pre-trained models for NLP, computer vision, and transformers
Data Management & Deployment
SQL & PostgreSQL
Database querying, optimization, and advanced data extraction
Apache Spark
Big data processing and distributed computing frameworks
Docker & MLflow
Containerization and ML lifecycle management for production
AWS/GCP
Cloud platforms for scalable ML deployment and infrastructure
Learn From AI Experts
World-class instructors with real industry experience
Dr. Rajendra Gunasekaran
Lead Data Science Instructor & AI Researcher
PhD in Machine Learning from University of Colombo with 15+ years of experience in AI research and industry applications. Former data scientist at Microsoft, specializing in predictive analytics and deep learning solutions for emerging markets.
Career Transformation
Data science offers some of the highest-paying and most in-demand careers in tech
Premium AI Education
Comprehensive training with lifetime value
Python Data Science & ML
Advanced 14-week program
- 14 weeks of intensive AI training
- PhD-level instructor mentorship
- 4 industry-grade ML projects
- TensorFlow & scikit-learn certification
- AI career placement guarantee
- Exclusive AI practitioners network
💰 Scholarship opportunities available
Frequently Asked Questions
Everything you need to know about our data science program
Do I need a mathematics or statistics background?
While helpful, it's not required. We cover essential mathematical concepts as needed and focus on practical application rather than theoretical proofs. Our approach makes data science accessible to motivated learners from any background.
What programming experience do I need?
No prior programming experience is necessary. We start with Python basics and gradually build up to advanced data science techniques. Our structured approach ensures everyone can follow along regardless of their starting point.
How does this compare to a data science degree?
Our program focuses on practical, industry-relevant skills that you can apply immediately. While a degree provides broader theoretical knowledge, our intensive training gets you job-ready faster with hands-on experience using real datasets.
What career support do you provide?
We offer comprehensive career services including portfolio development, resume optimization, interview preparation, and direct introductions to hiring managers at our partner companies. Our goal is to get you hired, not just trained.
Can I work while taking this course?
Yes! We offer evening and weekend batch options designed for working professionals. The intensive nature requires commitment, but many students successfully complete the program while maintaining their current jobs.
Launch Your AI Career Today
Join the AI revolution and become a data scientist. With average salaries of LKR 95k+ and 92% job placement rate, your future in tech starts here.
Next AI cohort starts March 1st • Only 25 seats available
Become a Data Scientist in Sri Lanka's Growing AI Economy
Data science and machine learning represent the cutting edge of technological innovation, transforming industries from healthcare to finance through intelligent automation and predictive analytics. Our comprehensive 14-week program provides the theoretical foundation and practical skills necessary to excel in this rapidly expanding field.
Sri Lanka's emergence as a technology hub has created unprecedented demand for skilled data scientists and machine learning engineers. Government initiatives promoting digital transformation, combined with increased foreign investment in local tech companies, have established a thriving ecosystem where AI expertise commands premium compensation and career advancement opportunities.
Our curriculum emphasizes hands-on learning through real-world projects that mirror the challenges faced by data science teams at leading technology companies. Students work with authentic datasets to solve problems in fraud detection, recommendation systems, and predictive modeling, building a portfolio that demonstrates practical competency to potential employers.
The Python programming language has become the de facto standard for data science work, supported by an extensive ecosystem of libraries including pandas for data manipulation, scikit-learn for machine learning, and TensorFlow for deep learning applications. Our program ensures mastery of these essential tools while teaching the analytical thinking skills that distinguish exceptional data scientists.
Career prospects for data science graduates extend well beyond traditional technology companies. Financial institutions seek experts in risk modeling and algorithmic trading, healthcare organizations need specialists in medical data analysis, and e-commerce platforms require recommendation engine developers. This versatility makes data science skills valuable across virtually every industry sector in Sri Lanka's diversifying economy.