A Practical Approach to Timeseries Forecasting Using Python
Completed by PANAGIOTIS ROUSSOS
November 27, 2025
15 hours (approximately)
PANAGIOTIS ROUSSOS's account is verified. Coursera certifies their successful completion of A Practical Approach to Timeseries Forecasting Using Python
What you will learn
Visualize and manipulate time series data using Python and key libraries
Build and tune ARIMA and SARIMA models for effective forecasting
Implement LSTM, BiLSTM, and GRU models for deep learning-based predictions
Design end-to-end forecasting pipelines for real-world datasets
Skills you will gain
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Optimization
- Category: Forecasting
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Data Processing
- Category: Data Visualization Software
- Category: Statistical Modeling
- Category: Data Preprocessing
- Category: Predictive Analytics
- Category: Feature Engineering
