Overview
Time series analysis is a method used to analyze data points collected or recorded at specific time intervals. It helps us understand patterns, trends, and seasonal variations in data over time. By studying time series, we can make predictions about future events based on historical data. This introduction will cover essential concepts and techniques used in time series analysis, making it easier for you to apply these methods in real-world scenarios.
📚 Key Learning Objectives
- ✓ Define key terms related to time series analysis.
- ✓ Identify different components of a time series.
- ✓ Apply basic time series forecasting methods.
- ✓ Visualize time series data using graphs.
- ✓ Interpret results from time series analysis.
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