Description
What you’ll learn
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Understand the fundamental principles of time series data and its significance in forecasting across various industries.
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Differentiate between various time series forecasting models such as Exponential Smoothing, ARIMA, and Prophet, identifying when to use each model.
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Apply Exponential Smoothing and Holt-Winters methods to seasonal and trend-based time series data to create accurate forecasts.
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Implement SARIMA and SARIMAX models in Python, incorporating external variables to enhance the predictive power of your forecasts.
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Develop time series models using advanced techniques such as Temporal Fusion Transformers (TFT) and N-BEATS to handle complex datasets.
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Optimize forecasting models by tuning parameters and using ensemble methods to improve accuracy and reliability.
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Evaluate the performance of different forecasting models using metrics such as MAE, RMSE, and MAPE, ensuring the robustness of your predictions.
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Code Python scripts to automate the entire time series forecasting process, from data preprocessing to model deployment.
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Implement deep learning models such as RNN and LSTM to accurately forecast complex time series data, capturing long-term dependencies.
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Develop and optimize advanced forecasting solutions using Generative AI techniques like Amazon Chronos, incorporating state-of-the-art methods.
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:
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Exponential Smoothing & Holt-Winters: Perfect for handling trends and seasonality in your data.
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Advanced ARIMA Models (SARIMA & SARIMAX): Master these foundational models and learn how to incorporate external variables for enhanced forecasts.
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Facebook Prophet: Make robust, high-accuracy forecasts with minimal data preparation.
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Temporal Fusion Transformers (TFT): Leverage state-of-the-art deep learning techniques to forecast multiple time series with high accuracy.
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LinkedIn Silverkite: Understand and apply this powerful, flexible model for accurate predictions in various contexts.
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N-BEATS: Utilize cutting-edge neural network models for handling a variety of time series forecasting challenges.
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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!
Who this course is for:
- Business analysts looking to improve their forecasting skills and techniques.
- Data scientists interested in applying time series analysis and forecasting to business problems.
- Marketing professionals looking to forecast future demand for products or services.
- Financial analysts seeking to forecast future trends and performance for businesses.
- Operations managers looking to improve demand planning and forecasting for their organization.
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