Data Science Training Program

Transform your career with our comprehensive Data Science Training Program designed to cater to professionals from various backgrounds. Whether you're an IT professional looking to enhance your technical skills, a non-IT professional aiming to transition into data science, or a business leader seeking to leverage data for strategic decision-making, our specialized tracks provide tailored learning paths to match your needs.

Each track is structured over 5 months with 3 months of core learning, 1 month of hands-on projects, and 1 month of finishing work to ensure you graduate with not just theoretical knowledge but practical, industry-relevant skills that make you job-ready.

Program Tracks

IT Track: Data Science for IT Professionals

Duration: 5 Months

Structure: 3 months core + 1 month projects + 1 month finishing

Fee: ₹50,000

For: Software developers & IT professionals

Master Python for data science, develop expertise in ML/AI implementation, and build end-to-end data science solutions.

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Non-IT Track: Data Science for Non-Programmers

Duration: 5 Months

Structure: 3 months core + 1 month projects + 1 month finishing

Fee: ₹30,000

For: Professionals without programming background

Develop practical data analysis skills without extensive coding, master data visualization, and apply data-driven decision making in various domains.

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Management Track: Data Science for Management

Duration: 5 Months

Structure: 3 months core + 1 month projects + 1 month finishing

Fee: ₹30,000

For: Executives & business leaders

Develop data literacy for executive decision-making, master strategic application of data analytics, and learn to lead data-driven organizations.

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IT Track: Detailed Curriculum

Course Objectives

✓ Master Python for data science and machine learning
✓ Develop expertise in data visualization with PowerBI
✓ Gain practical skills in AI and ML implementation
✓ Build end-to-end data science solutions using full-stack technologies

Month 1: Python & Data Fundamentals

4 Weeks

Python programming fundamentals including data types, control structures, functions, and modules
Advanced Python concepts: lists, dictionaries, sets, tuples, comprehensions, and error handling
Data manipulation with NumPy arrays and Pandas DataFrames
Data cleaning, preprocessing, and handling missing values
Data transformation techniques and aggregation operations
Statistical visualization with Matplotlib and Seaborn
Interactive dashboard creation and data presentation skills
Package management and development environment setup

2 Mini Projects Lab Work

Month 2: Machine Learning & AI

4 Weeks

Machine learning fundamentals and the ML workflow process
Supervised learning algorithms: linear regression, logistic regression, decision trees, random forests, SVM, and Naive Bayes
Unsupervised learning: clustering (K-means, hierarchical) and dimensionality reduction (PCA, t-SNE)
Feature selection, extraction, and engineering techniques
Model evaluation metrics and validation strategies
Deep learning fundamentals: neural network architecture, activation functions, and backpropagation
Convolutional Neural Networks (CNNs) for image processing
Recurrent Neural Networks (RNNs) for sequence data analysis

Mini Project Lab Work

Month 3: Advanced Topics & Integration

4 Weeks

Natural Language Processing: text preprocessing, sentiment analysis, named entity recognition, and topic modeling
Advanced NLP with transformer models like BERT
PowerBI for data science: desktop overview, data modeling, and DAX functions
Creating interactive dashboards and visualizations with PowerBI
MLOps fundamentals: model versioning, containerization with Docker, and CI/CD for ML pipelines
Model deployment strategies with Flask and REST APIs
Full-stack data science: integrating ML models into web applications
Database integration and data storage solutions for ML applications

2 Mini Projects Lab Work

Month 4: Capstone Project

4 Weeks

End-to-end data science project development methodology
Problem identification, formulation, and project charter creation
Data acquisition strategies: APIs, web scraping, and database integration
Advanced data cleaning, preprocessing, and validation techniques
Model selection, experimental design, and hyperparameter tuning
Ensemble methods and advanced optimization strategies
Designing scalable ML architectures for production
Interactive web application development for ML models

Project Development

Month 5: Finishing School

4 Weeks

Cutting-edge AI techniques: reinforcement learning, graph neural networks, and AutoML
Privacy-preserving machine learning with federated learning
Industry-specific applications: healthcare, finance, retail, manufacturing, and agriculture
Building a compelling data science portfolio and GitHub presence
Technical interview preparation and resume optimization for data science roles
Effective technical communication and presentation skills
Career path planning and professional development in data science
Final capstone project presentation and assessment

Final Assessment

Contact Information

Edathena Academy

CIIC, Crescent Engg. College
Vandalur, Tamil Nadu 600048

+91-98403-47570
eda@edathena.com

Operating Hours
Mon – Fri 9:00AM – 6:00PM

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Recognition of Excellence

EdAthena awards verified Certificates of Completion to students who successfully finish their courses. Each certificate includes the learner's name, course details, lecture and practice hours, and a unique GUID for verification. Our certificates, recognized by employers and institutions, validate the learner's mastery of required skills through lectures, assignments, and evaluations.

Our certification program is designed in collaboration with industry experts and aligned with current market demands. Learners gain practical experience through hands-on projects and real-world applications, ensuring they're well-prepared for industry challenges. The certification not only demonstrates technical proficiency but also showcases problem-solving abilities and project implementation skills valued by employers.

Ready to transform your career with data science skills? Download our detailed course guide or apply now.

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