Module 1: Introduction to Data Science (Week 1-2)

Learning Objectives

• Understand what data science is and its applications
• Learn the data science workflow and methodology
• Set up development environment and tools
• Develop analytical thinking and problem-solving skills

Topics Covered

Module 2: Core Concepts (Week 3-4)

Learning Objectives

• Master fundamental concepts and principles
• Apply theoretical knowledge to practical scenarios
• Develop problem-solving methodologies
• Build foundational skills for advanced topics

Topics Covered

Module 1: Introduction to Data Science (Week 1-2)

Learning Objectives

• Understand what data science is and its applications
• Learn the data science workflow and methodology
• Set up development environment and tools
• Develop analytical thinking and problem-solving skills

Module 2: Core Concepts (Week 3-4)

Learning Objectives

• Master fundamental concepts and principles
• Apply theoretical knowledge to practical scenarios

Module 3: Advanced Techniques (Week 5-6)

Learning Objectives

• Implement advanced techniques and methodologies
• Optimize performance and efficiency

Module 4: Project Development (Week 7-8)

Learning Objectives

• Develop complete end-to-end projects
• Apply industry best practices

Assessment Methods

Weekly Assignments (40%)

• Practical exercises and mini-projects
• Technical quizzes and concept checks
• Peer review activities

Mid-term Project (25%)

• Complete practical project
• Technical presentation and documentation
• Industry-standard deliverables

Final Capstone Project (35%)

• End-to-end solution development
• Business problem solving
• Project presentation and defense