- Advanced Analytics
- Exploratory Data Analysis
- Pandas (Python Package)
- Time Series Analysis and Forecasting
- Forecasting
- Matplotlib
- Predictive Analytics
- Strategic Decision-Making
- Data-Driven Decision-Making
- Business Analytics
- Statistical Analysis
- Trend Analysis
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Completed by Miguel Fernandez Castresana
June 27, 2024
2 hours (approximately)
Miguel Fernandez Castresana'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
