Time Series Analysis in R: Forecasting with ARIMA Models

Title: Time Series Analysis in R: Forecasting with ARIMA Models
📅 Date: Saturday, 28th February 2026
⏰ Time: 12:00 PM – 2:00 PM (WAT)
Platform: LIVE on YouTube
Link: youtube.com/@softdataconsult

For inquiries:
SoftData Consult
📧 softdataconsult@gmail.com
📞 +2348035252017

Time Series Analysis in R: Forecasting with ARIMA Models
In this hands-on session, you will learn:

1. Introduction to Time Series Data: Understand what time series data is and why it’s important in real-world analysis (e.g., stock prices, sales data, weather data).
2. Data Visualization: Learn how to visualize time series data in R using ggplot2 to identify trends and seasonal patterns.
3. Time Series Decomposition: Understand how to decompose a time series into trend, seasonality, and noise components using STL decomposition.
4. Fitting ARIMA Models: Learn the fundamentals of ARIMA models for forecasting time series data, including how to tune the model’s AR, I, and MA parameters.
5. Forecasting with ARIMA: Apply the ARIMA model to make future predictions and visualize the forecast with confidence intervals.
6. Q&A and Practical Tips: Get your questions answered and discuss practical ways to use time series forecasting in your projects or business.

Tools and Packages Covered: R, ggplot2, forecast, Prophet

• Hands-on training with real-world examples.
• Learn how to use ARIMA and Prophet for time series forecasting.
• Opportunity for interactive discussions and Q&A.