Master Time Series Analysis and Forecasting with Python 2025
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Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast
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Udemy Coupon Code for Master Time Series Analysis and Forecasting with Python 2025 Course. Time Series with Deep Learning (LSTM, TFT, N-BEATS), GenAI (Amazon Chronos), Prophet, Silverkite, ARIMA. Demand Forecast
Created by Diogo Alves de Resende | 43 hours on-demand video course
Time Series Analysis Course Overview
Master Time Series Analysis and Forecasting with Python 2025
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!
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.
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Time Series Analysis Course Reviews
Everything You Need to Know About Master Time Series Analysis and Forecasting with Python 2025
This course is a comprehensive and well-structured introduction to Master Time Series Analysis and Forecasting with Python 2025. The instructor, Diogo Alves is a leading expert in the field with a wealth of experience in Business to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Time Series Analysis. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Master Time Series Analysis and Forecasting with Python 2025. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
