- Strategic Decision-Making
- Forecasting
- Model Evaluation
- Performance Metric
- Data-Driven Decision-Making
- Trend Analysis
- Matplotlib
- Predictive Analytics
- Statistical Analysis
- Time Series Analysis and Forecasting
- Advanced Analytics
- Pandas (Python Package)
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Completed by Esteban Montandon
July 9, 2024
2 hours (approximately)
Esteban Montandon's account is verified. Coursera certifies their successful completion of Time Series Mastery: Forecasting with ETS, ARIMA, Python
What you will learn
Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
Analyze real-world data to identify patterns and make accurate predictions.
Create advanced forecasting models using Python.
Skills you will gain
