- Market Data
- NumPy
- Pandas (Python Package)
- Financial Forecasting
- Statistical Analysis
- Data-Driven Decision-Making
- Advanced Analytics
- Strategic Decision-Making
- Jupyter
- Matplotlib
- Exploratory Data Analysis
- Predictive Modeling
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Completed by md shaikh
June 3, 2024
2 hours (approximately)
md shaikh'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
