Global Certificate in Forecasting for a Globalized World
-- ViewingNowThe Global Certificate in Forecasting for a Globalized World is a comprehensive course designed to equip learners with the essential skills required to thrive in today's data-driven world. This course is crucial for professionals who want to stay ahead of the curve and excel in their careers, as it provides a deep understanding of forecasting methods, tools, and techniques.
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โข Foundations of Forecasting: Introduction to forecasting, types of forecasting methods, importance of forecasting in a globalized world.
โข Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive integrated moving average (ARIMA) models, exponential smoothing state space model (ETS), seasonal decomposition of time series (STL).
โข Regression Analysis: Simple and multiple linear regression, logistic regression, panel data analysis, qualitative and limited dependent variables regression.
โข Probability and Statistical Inference: Probability distributions, hypothesis testing, confidence intervals, statistical power, p-values.
โข Data Mining and Machine Learning: Data preprocessing, feature engineering, supervised and unsupervised learning algorithms, model selection, cross-validation.
โข Bayesian Forecasting: Bayes' theorem, conjugate priors, MCMC simulation, hierarchical models, empirical Bayes methods.
โข Forecasting in Practice: Real-world case studies, data visualization, data quality control, model validation, communication of results.
โข Ethics and Bias in Forecasting: Ethical considerations in data collection, model selection, and communication of results, addressing and mitigating biases.
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