Course Overview
Data Science and Analytics
Learning Objectives: Introduce data analysis, visualization, and basic data science workflows.
Week 1
Introduction to Data Science – Concepts & Applications
Week 2
Types of Data & Data Collection Methods
Week 3
Excel for Data Analysis – Formulas & Charts
Week 4
Introduction to Python for Data (Optional: Jupyter Notebooks)
Week 5
Data Cleaning and Preprocessing
Week 6
Data Visualization with Excel / Python Libraries (Matplotlib, Seaborn)
Week 7
Interpreting Results and Making Data-Driven Decisions
Week 8
Mini Project – Analyze a Dataset & Present Insights
