Description:

Time Series Forecasting is a crucial technique for predicting future trends based on historical data points. This course will cover a range of time series models and forecasting methods to help you make accurate predictions for your business decisions.

Key Highlights:

• Understanding time series data
• Building forecasting models
• Analyzing trends and patterns
• Interpreting forecast results

What you will learn:

• Develop predictive models
  Learn to build ARIMA, Exponential Smoothing, and other time series models for forecasting.
• Forecast accuracy
  Understand techniques for improving forecast accuracy and dealing with seasonality and trends.
• Real-world applications
  Apply time series forecasting to financial forecasting, demand planning, and more.

Schedule