
Udemy – Master Time Series Analysis and Forecasting with Python 2025
English | Tutorial | Size: 20.99 GB
Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast
Updates July 2025:
Fully updated the exercises in the section Python Essentials.
Updates March 2025:
Google TSMixer Launched
Introduction to Time Series Analysis and Exponential Smoothing Python tutorials remade.
Updates December 2024:
Amazon AutoGluon launched
Library requirements.txt file for all sections added
Updates October 2024:
Amazon Chronos launched
N-BEATS launched
Updates September 2024:
TFT and TFT Capstone Project added
Updates August 2024:
Course remade 100%
Silverkite, LSTM and Projects added
Welcome to the most exciting online course about Forecasting Models in Python. I will show 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 course emphasizes understanding the why behind each model. We simplify the 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: Perfect for handling trends and seasonality in your data.
Advanced ARIMA Models (SARIMA & SARIMAX): Master these foundational models and learn how to incorporate external variables for enhanced forecasts.
Facebook Prophet: Make robust, high-accuracy forecasts with minimal data preparation.
Temporal Fusion Transformers (TFT): Leverage state-of-the-art deep learning techniques to forecast multiple time series with high accuracy.
LinkedIn Silverkite: Understand and apply this powerful, flexible model for accurate predictions in various contexts.
N-BEATS: Utilize cutting-edge neural network models for handling a variety of time series forecasting challenges.
GenAI with Amazon Chronos: Explore how generative AI is revolutionizing forecasting with models like Amazon Chronos.
Code Python Together, Line by Line
We’ll code together, ensuring you understand each step of the process. From data preparation to model implementation, you’ll learn how to write and refine every line of Python code needed to master these forecasting techniques.
Practice, Practice, Practice
Each lesson includes hands-on challenges and case studies, allowing you to immediately apply what you’ve learned. You’ll work with real datasets, solving real-world problems, and solidifying 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!
DOWNLOAD:
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