⏰ Time Series Modelling is at the heart of forecasting — from finance and retail to supply chain and healthcare. In this video, we explore how time series data helps businesses anticipate future outcomes with precision.
📊 You’ll learn about the key components of time series like trend, seasonality, and cyclicity, and how powerful models such as ARIMA, SARIMA, and Prophet drive real-world forecasting applications.
📌 What You’ll Learn:
💡 What is Time Series Data? – Understand how data changes over time and why it matters. 📊 Key Components: Trend, seasonality, cyclicity, and noise. 📈 Popular Models: ARIMA, SARIMA, and Prophet explained with examples. 🧠 Model Evaluation: AIC, RMSE, and cross-validation for reliable forecasting.
💼 Why Learn with Imarticus Learning?
📍 Expert Mentorship: Learn from professionals with hands-on industry experience. 📍 Flexible Learning Options: Study at your pace with structured, guided learning paths. 📍 Career Support: Job assurance, resume prep, and placement through 2,000+ hiring partners.
🎯 Become an AI & ML Expert – Predict, Automate & Optimize! The Postgraduate Program in Data Science and Analytics (PGA) by Imarticus Learning is a 6-month course designed for graduates and early professionals.
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