Month 14: Introduction to Data Science

Week 1: Overview of Data Science

• Introduction to Data Science
• Data Science Life Cycle
• Applications of Data Science
• Tools and Technologies for Data Science

Week 2: Data Collection and Cleaning

• Data Collection Techniques
• Data Cleaning Techniques
• Data Quality Assessment
• Data Wrangling and Preparation

Week 3: Exploratory Data Analysis (EDA)

• Data Visualization Techniques
• Summary Statistics and Measures of Central Tendency
• Correlation and Regression Analysis
• Hypothesis Testing and Statistical Inference

Week 4: Data Science Workflow and Applications

• Building Data Science Pipelines
• Machine Learning in Data Science
• Natural Language Processing in Data Science
• Data Science Applications in Business, Healthcare, and Social Sciences