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Master Time Series Analysis and Forecasting with Python 2026

Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast
4.7 ★★★★★11,144 studentsCreated by Diogo Alves de ResendeLast updated Dec 9, 2025🌐 English

What you'll learn

✓Understand the fundamental principles of time series data and its significance in forecasting across various industries.
✓Differentiate between various time series forecasting models such as Exponential Smoothing, ARIMA, and Prophet, identifying when to use each model.
✓Apply Exponential Smoothing and Holt-Winters methods to seasonal and trend-based time series data to create accurate forecasts.
✓Implement SARIMA and SARIMAX models in Python, incorporating external variables to enhance the predictive power of your forecasts.
✓Develop time series models using advanced techniques such as Temporal Fusion Transformers (TFT) and N-BEATS to handle complex datasets.
✓Optimize forecasting models by tuning parameters and using ensemble methods to improve accuracy and reliability.
✓Evaluate the performance of different forecasting models using metrics such as MAE, RMSE, and MAPE, ensuring the robustness of your predictions.
✓Code Python scripts to automate the entire time series forecasting process, from data preprocessing to model deployment.
✓Implement deep learning models such as RNN and LSTM to accurately forecast complex time series data, capturing long-term dependencies.
✓Develop and optimize advanced forecasting solutions using Generative AI techniques like Amazon Chronos, incorporating state-of-the-art methods.

Requirements

•Basic Statistics: Linear regression, p-value

Description

Frequently Asked Questions

Student Feedback

4.7
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Master Time Series Analysis and Forecasting with Python 2026
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This course includes:
  • 📺 36h 30m on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion