A Practical Approach to Timeseries Forecasting Using Python
Completed by Stefan Civelek
September 15, 2025
15 hours (approximately)
Stefan Civelek'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: Machine Learning Methods
- Category: Feature Engineering
- Category: Statistical Modeling
- Category: Predictive Analytics
- Category: Data Visualization Software
- Category: Data Processing
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Recurrent Neural Networks (RNNs)
- Category: Forecasting
