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
What you'll learn in this Udemy Course
- ✓ 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.
Udemy Coupon Requirements
- Basic Statistics: Linear regression, p-value
About This Udemy Coupon
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Frequently Asked Questions
Is there a discount for Master Time Series Analysis and Forecasting with Python 2026?
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How long is this course?
Master Time Series Analysis and Forecasting with Python 2026 is approximately 36h 30m long with comprehensive content.
What will I learn in Master Time Series Analysis and Forecasting with Python 2026?
Master Time Series Analysis and Forecasting with Python 2026 by Diogo Alves de Resende. You will master key skills in Business.
Course Information
Platform
Udemy
Instructor
Diogo Alves de Resende
Duration
36h 30m
Language
English
Category
Business • Time Series Analysis
Rating
Price