GÜSEM Trainings continue in the 2023-2024 Spring Semester!

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Registration is open for the 24-hour R Applied Time Series Analysis and Forecasting Methods Training to be held on 09-10-16-17 March 2023.

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Tuition Fee:*daha sonra duyrulacaktır

*The training quota is 25 people.

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Training Days and Hours: 
*The training will be held ONLINE and the days and times will be announced later.

*Classes are not held on public holidays.

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Educational purpose:
To provide training on R applied time series analysis for students, academics and practitioners doing research in the fields of Statistics, Econometrics, Industrial Engineering, Artificial Intelligence and Data Engineering and Data Science.

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Program Content:

Week 1
Lesson 1:	Time Series Basics, Time Series Components and Time Series Graphs, R Applications (4 Hours)
Lesson 2:	Basic Forecasting Methods, Decomposition Methods and R Applications in Time Series (4 Hours)
Lesson 3:	Regression Methods and R Applications for Seasonal and Non-Seasonal Time Series (4 Hours)
Lesson 4:	Exponential Smoothing Methods ETS and R Applications (4 Hours)
Week 2
Lesson 5:	ARIMA, SARIMA Methods and R Applications (4 Hours) Week 2
Lesson 6:	ARFIMA Models and R Applications (4 Hours)
Lesson 7:	Nonlinearity Tests, Threshold Autoregressive Models and R Applications (4 Hours)
Lesson 8:	Granger Causality Tests, VAR Models and R Applications (4 Hours)
Lesson 9:	Forecasting with Shallow Neural Networks and R Applications (4 Hours)
Lesson 10:	Forecasting with Deep Neural Networks and R Applications (4 Hours)