Name: PHAROS Training Series - Course 4 "Introduction to Time Series Forecasting"
Start: 2026-03-09T11:30:00+02:00
End: 2026-03-09T16:15:00+02:00
Location: No location set

PHAROS Training Series - Course 4 "Introduction to Time Series Forecasting"

Monday, 9 March 2026 - 11:30

Monday, 9 March 2026
11:30 The Pharos Training Series - Nikos Bakas (GRNET)
The Pharos Training Series
- Nikos Bakas (GRNET)
11:30 - 11:40
11:40 Introduction to Timeseries Forecasting - Nikos Bakas (GRNET)
Introduction to Timeseries Forecasting
- Nikos Bakas (GRNET)
11:40 - 12:10
12:10 Forecasting & AI: Live Q&As with Professor Spyros Makridakis - Spyros Makridakis (University of Nicosia)
Forecasting & AI: Live Q&As with Professor Spyros Makridakis
- Spyros Makridakis (University of Nicosia)
12:10 - 12:30
12:30 Introduction & Objectives
Introduction & Objectives
12:30 - 12:40
Overview of time series forecasting, webinar goals, structure, and expected outcomes.

12:40 Theory Session I: Fundamentals of Time Series Analysis
Theory Session I: Fundamentals of Time Series Analysis
12:40 - 13:10
Definition of time series data, key components, the importance of forecasting, and the role of data analysis.

13:10 Hands-On Session I: Data Analysis & Statistical Models
Hands-On Session I: Data Analysis & Statistical Models
13:10 - 13:55
Practical implementation of data preprocessing, exploratory analysis, and classical statistical forecasting models.

13:55 Theory Session II: Machine Learning & Deep Learning for Time Series
Theory Session II: Machine Learning & Deep Learning for Time Series
13:55 - 14:25
Concepts, architectures, and methodologies for machine learning and deep learning–based forecasting.

14:25 Hands-On Session II: ML & DL Forecasting Models
Hands-On Session II: ML & DL Forecasting Models
14:25 - 15:10
End-to-end development, training, and evaluation of machine learning and deep learning models.

15:10 Core Use Case: End-to-End Forecasting Application
Core Use Case: End-to-End Forecasting Application
15:10 - 15:50
A complete real-world case study integrating all theoretical and practical elements covered in the webinar.

15:50 Live Q&A Session
Live Q&A Session
15:50 - 16:05
Open discussion and clarification of concepts, methods, and implementation details.

16:05 Wrap-Up, Key Takeaways & Resources
Wrap-Up, Key Takeaways & Resources
16:05 - 16:15
Summary of key insights, lessons learned, and resources for further study and application.