Time Series Analysis Using R Programming

Workshop Details

📅 Dates: 29th , 30th& 31st December 2025

🕒 Time: 7.00 PM – 8.30 PM (IST)

💻 Mode: Online (LIVE on Zoom)

📜 Certificate & Recordings: Provided after the workshop

What is Time Series Analysis & Why Is It Important?

Time Series Analysis involves studying data points collected at specific time intervals. It helps identify trends, seasonality, and patterns.

• Predict future outcomes
• Used in finance, weather, sales, and healthcare
• Improves decision-making and strategy

Who Can Join?

• Students, researchers, faculty
• Data analysts & professionals
• Anyone interested in R forecasting

Topics Covered

Session 1: Introduction & Data Exploration & Preprocessing (2 hours)

• Definition & characteristics of time series
• Types: Univariate / Multivariate, Stationary / Non-stationary
• Libraries: forecast, tsibble, tseries, lubridate
• Visualization: ggplot2, tsibble, plot.ts()
• Missing values: na.interp(), tsclean()
• Transformations: diff(), log, power

Hands-on: Load & preprocess real dataset

Session 2: Time Series Decomposition & Modeling (2 hours)

• Classical & STL decomposition
• AR, MA, ARIMA
• ETS models
• Prophet forecasting

Hands-on: STL & classical decomposition

Session 3: Forecasting & Model Evaluation (2 hours)

• forecast(), prediction intervals
• RMSE, MAE, MAPE
• Cross-validation
• Model comparison
• Q&A and best practices

Hands-on: Evaluate forecasts using multiple models

Resource Person

Dr. Shanti Verma

Director

Lokmanya Institute of Management and Computer Applications

Gujarat Technological University, Ahmedabad

Registration Fee

🇮🇳 Indian Participants: ₹480

🌍 Foreign Participants: $10 USD