In today's data-driven world, the ability to accurately forecast and predict future trends is crucial for businesses to stay ahead of the competition. Time series analysis is a powerful tool that allows organizations to unravel patterns and make informed decisions. This course, Time Series Mastery: Unravelling Patterns with ETS, ARIMA, and Advanced Forecasting Techniques, provides a comprehensive introduction to time series analysis and forecasting. You will learn about the most widely used techniques, including Error-Trend-Seasonality (ETS), Autoregressive Integrated Moving Average (ARIMA), and advanced forecasting methods. By the end of this course, you will have the skills and knowledge to apply these techniques to real-world data and make accurate predictions.
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(19 avis)
Expérience recommandée
Ce que vous apprendrez
Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
Analyze real-world data to identify patterns and make accurate predictions.
Create advanced forecasting models using Python.
Compétences que vous acquerrez
- Catégorie : Time Series Data Analysis
- Catégorie : Data Interpretation
- Catégorie : Forecasting Techniques
- Catégorie : ETS Modeling
- Catégorie : ARIMA Modeling
Détails à connaître
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Il y a un module dans ce cours
In today's data-driven world, the ability to accurately forecast and predict future trends is crucial for businesses to stay ahead of the competition. Time series analysis is a powerful tool that allows organizations to unravel patterns and make informed decisions. This course provides a comprehensive introduction to time series analysis and forecasting. You will learn about the most widely used techniques, including Error-Trend-Seasonality (ETS), Autoregressive Integrated Moving Average (ARIMA), and advanced forecasting methods.
Inclus
16 vidéos4 lectures1 devoir2 sujets de discussion
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Business Essentials
Coursera Project Network
Coursera Instructor Network
EDHEC Business School
New York Institute of Finance
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