
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
Requirements
- Basic Statistics: Linear regression, p-value
About this course
Welcome to the most exciting online course about Forecasting Models in Python.
I will show you everything you need to know to understand the now and predict the future.
Forecasting is always sexy.
Knowing what will happen usually drops jaws and earns admiration.
On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts.
Who is doing them?
Well, that could be you!
WHY SHOULD YOU ENROLL IN THIS COURSE?
Master the Intuition Behind Forecasting Models
No need to get bogged down in complex math.
This Master Time Series Analysis and Forecasting with Python 2026 course emphasizes understanding the why behind each model. We simplify concepts with clear explanations, intuitive visuals, and real-world examples—focusing on what really matters so you can apply these techniques confidently.
Comprehensive Coverage of Cutting-Edge Techniques
You’ll dive deep into the most advanced and sought-after time series forecasting methods that are crucial in today’s data-driven world:
- Exponential Smoothing & Holt-Winters – Handle trends and seasonality with elegance.
- Advanced ARIMA Models (SARIMA & SARIMAX) – Incorporate external variables for enhanced forecasts.
- Facebook Prophet – Robust, high-accuracy forecasts with minimal data prep.
- Temporal Fusion Transformers (TFT) – State-of-the-art deep learning for multiple time series.
- LinkedIn Silverkite – Flexible, powerful forecasting across contexts.
- N-BEATS – Cutting-edge neural networks for diverse forecasting challenges.
- GenAI with Amazon Chronos – Discover how generative AI is revolutionizing forecasting.
- Google TSMixer (NEW) – Leverage Google’s breakthrough architecture for time series.
- Amazon AutoGluon (NEW) – Automate high-performance forecasting pipelines.
- Intermittent Time Series (NEW) – Tackle irregular, sporadic patterns with specialized techniques.
- Classification for Time Series (NEW) – Expand beyond forecasting into predictive categorization.
Code Python Together, Line by Line
We’ll code side by side, ensuring you understand every step.
From data preparation to model implementation, you’ll learn how to write and refine each line of Python code needed to master these forecasting techniques.
Practice, Practice, Practice
Each lesson includes hands-on challenges and case studies, from sales to demand forecasting
You’ll apply what you’ve learned to real datasets, solve real-world problems, and solidify your skills through practical application.
Are You Ready to Predict the Future?
Did I spike your interest? Join me and learn how to predict the future!
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Udemy Course Reviews
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