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Training on Time Series Analysis and Forecasting

(Date posted: | Last updated: 07 October 2018)

DATE October 15 - 16, 2018
LECTURER Mr. John Carlo Daquis
VENUE School of Statistics, University of the Philippines, Diliman

The seminar on "Time Series Analysis and Forecasting" provides participants with a working knowledge of the fundamental principles and statistical techniques in time series analysis. The training will include the preliminary tests to detect the presence of trend and seasonality. Cyclical patterns will be extracted and analyzed using statistical models. Forecasting applications will be on economic planning, sales forecasting, supply chain planning, project monitoring, and financial analysis.

Course Description

The Time Series Analysis and Forecasting using R Studio training course provides participants with a working knowledge about the basic principles and statistical techniques in time series analysis and forecasting, specifically:

  • Preliminary concepts in time series
  • Descriptive tools and the basic components of a time series
  • R Studio syntax for the different techniques in time series analysis and forecasting
  • Exponential smoothing
  • ARIMA modeling

Target Audience

The knowledge and skills learned in this training will enable a participant to make sound statistical forecasts based on time-series data. The training is specifically tailored-fit to those involved with decision-making processes, planning personnel, and monitoring and evaluation officers.

Applications of this training on time series analysis and forecasting include (but not limited to) the following:

  • Economic planning
  • Forecasting of sales
  • Supply chain planning
  • Production and capacity planning
  • Project monitoring
  • Financial risk management

Prerequisite Knowledge

Participants of this training must have at least a basic understanding of several statistical methods such as summary measures (e.g., mean, standard deviation, correlation). They must have a working background in using MS Excel. Knowledge in the R language is not required.

About the resource person

Professor John Carlo P. Daquis is an Assistant Professor IV of the UP School of Statistics. He has been teaching undergraduate time series analysis and forecasting. He is also a resource person on several occasions on topics that include: regression analysis, time series analysis, forecasting, basic statistical methods using various statistical software. Prof. Daquis also worked with both public and private institutions like the Asian Development Bank and the Philippine Statistical Research and Training Institute as a consultant.

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