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: Data Visualization Software
- Category: Statistical Modeling
- Category: Predictive Analytics
- Category: Feature Engineering
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Data Processing
- Category: Model Evaluation
- Category: Forecasting
