Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Challenges encountered by forecasters
- Planning for customer demand
- Addressing investor uncertainty
- Strategic economic planning
- Managing seasonal fluctuations in demand and utilization
- Understanding the roles of risk and uncertainty
Time Series Forecasting
- Seasonal adjustment techniques
- Moving average methods
- Exponential smoothing
- Extrapolation strategies
- Linear prediction models
- Trend estimation
- Assessing stationarity and ARIMA modelling
Econometric Methods (Causal Approaches)
- Regression analysis
- Multiple linear regression
- Multiple non-linear regression
- Validation of regression models
- Generating forecasts from regression outputs
Judgemental Methods
- Conducting surveys
- Applying the Delphi method
- Scenario building
- Technology forecasting
- Forecasting by analogy
Simulation and Alternative Methods
- Simulation techniques
- Prediction markets
- Probabilistic forecasting and Ensemble forecasting
Requirements
This course is a component of the Data Scientist skill set, falling under the domain of Analytical Techniques and Methods.
14 Hours
Testimonials (2)
The exercises.
Elena Velkova - CEED Bulgaria
Course - Predictive Modelling with R
He was very informative and helpful.
