Target Audience & Eligibility
Whether you are beginning your data journey or looking to pivot your career, this program is designed to build foundational to advanced competencies in Data Science.
Why this program?
Gain comprehensive understanding of the complete data science project lifecycle. You will master statistical analysis, predictive modeling, NLP, and Deep Learning using industry-standard tools.
- ✓ SQL & Databases (MySQL)
- ✓ Data Visualization (Tableau/PowerBI)
- ✓ Python & Google Colab Integration
Course Curriculum
A structured 120-hour path from data fundamentals to advanced machine learning deployment.
Analytics & Methods
- • Inferential Statistics & Hypothesis Testing
- • Linear & Logistic Regression
- • Dimension Reduction (PCA, Factor Analysis)
- • Business Forecasting & ARIMA
Python Programming
- • Python Fundamentals & Data Structures
- • Pandas, NumPy, SciPy & Scikit-learn
- • Machine Learning (Classification, Regression)
- • Matplotlib, Seaborn, Plotly Visualizations
Deep Learning & AI
- • Generative AI (GenAI) & LLMs
- • Image & Video Cognition
- • RAG Architecture Basics
- • Agentic AI & AI Chatbot Integrations
Real-World Industry Projects
HR Analytics Dashboard
Using SQL & Power BI to clean data, explore HR KPIs, and build interactive dashboards for workforce decisions.
Product Demand Prediction
Apply time series (ARIMA, Prophet) and machine learning methods to predict future sales and SKU demand.
AI Chatbot (LLMs & RAG)
Build an intelligent customer support chatbot using Azure AI, RAG architecture, and computer vision models.