Data Science & Data Analytics with Generative AI

Overview

This program is designed to develop strong analytical and data-driven thinking by combining data science fundamentals with Generative AI. Academic observation shows that learners working with real datasets and applied projects develop deeper understanding and job-ready skills. The program prepares students and professionals to confidently analyze data, build models, and apply AI-assisted insights in real-world scenarios.

What We Offer

• Python for data science
• Data analytics and visualization
• Machine learning fundamentals
• Generative AI applications
• Real-world projects and case studies
• Duration
• Total Duration: 4 Months
• Classes per Week: 2 Classes
• Total sessions: 32 Sessions
• Mode: Classroom

Learning Outcomes

• Understand Data Science fundamentals and the complete analytics workflow.
• Analyze data using Python, including core programming and OOP concepts.
• Apply statistics and probability for data-driven reasoning.
• Clean, explore, and visualize data using Pandas, NumPy, and Python visualization tools.
• Build and evaluate machine learning models for real-world problems.
• Understand and apply deep learning concepts for complex data challenges.
• Work on industry-relevant projects and case studies.
• Leverage data-driven insights to improve business outcomes.