Time Series Forecasting Fundamentals — Part 1

1. 1Explore time series data to identify patterns and trends
2. 2Determine the frequency and seasonality of the data
3. 3Plot the data to visualize its structure
4. 4Apply statistical tests to check for stationarity
5. 5Split the data into training and testing sets

Data scientists and analysts on a team benefit from understanding time series forecasting to analyze and predict trends in data, while business stakeholders benefit from accurate forecasts to inform strategic decisions

💡 Understanding the structure of time series data is crucial for building effective forecasting models

📊 Master time series forecasting fundamentals to make accurate predictions!