programming
Time Series Analysis Course
- Requirements: Basic knowledge of statistics is required.
- Modality: Online classes with practical sessions and room for doubts.
- Duration: 12 hours.
- Price: 300€.
- Material: We provide all the material to download and reuse (presentations, codes and data).
- Software: R or Python.
- Valid certificate of completion.
Module 1 : Introduction to time series
- Notation
- Dates
- Frequency
- Missing values
- Outliers
1hr. 30min.
Module 2 : Fundamental characteristics
- White noise
- Stationarity
- Seasonality
- Autocorrelation
- Patterns
- Smoothing
2hr. 30min
Module 3 : Predictive models
- AR
- MA
- ARMA
- ARIMA
- ARIMAX
- SARIMAX
- Auto ARIMA
- Multivariate models
4hr. 30min.
Module 4 : Neural networks
- Introduction to neural networks
- Keras
- Recurrent neural networks
- LSTM
3hr. 30min.
PhD. Elisa Cabana
Instructor
Elisa Cabana is a PhD in Mathematical Engineering, specialized in Statistics. She is also a researcher, data scientist and professor of data analysis at CUNEF University.
Available material
Presentations, codes, data, and all the material available for reuse.
Practical courses
Classes focused on the practical aspect, with space to solve doubts.
All ready to go?
Talk to us without obligation to clarify all your doubts.