Time Series Mastery: Forecasting with ETS, ARIMA, Python
Completed by Giovanny Alfonso Chávez Ceniceros
January 1, 2025
2 hours (approximately)
Giovanny Alfonso Chávez Ceniceros'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
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Trend Analysis
- Category: Business Analytics
- Category: Strategic Decision-Making
- Category: Advanced Analytics
- Category: Data-Driven Decision-Making
- Category: Forecasting
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Statistical Analysis
