Time Series Analysis
Learn to analyze and forecast data collected over time, using autocorrelation and trend detection.
1
Introduction to Time Series Analysis
Time series analysis is used to study data points collected over time, identifying trends, seasonality, and patterns.
2
Loading Time Series Data
Use the ts() function to create a time series object in R.
data <- ts(c(100, 120, 130, 150, 170, 180), start=c(2020,1), frequency=12)
plot(data, main='Time Series Data')All lessons in this course
- Regression Models
- Time Series Analysis
- Machine Learning Fundamentals