Executive Development Programme in Statistical Modeling for Growth
-- ViewingNowThe Executive Development Programme in Statistical Modeling for Growth is a certificate course designed to provide professionals with essential skills in statistical modeling for data-driven decision making. This program is crucial in today's data-centric world, where businesses rely on statistical analysis to drive growth and innovation.
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โข Introduction to Statistical Modeling: Basic concepts, data exploration, and preprocessing. Descriptive and inferential statistics. Probability distributions.
These units cover a broad range of essential topics for an Executive Development Programme in Statistical Modeling for Growth, providing participants with a strong foundation in statistical modeling, experimental design, machine learning, big data analytics, and ethical considerations.
โข Regression Analysis: Simple and multiple linear regression. Model selection, diagnostics, and validation. Heteroscedasticity, autocorrelation, and multicollinearity.
โข Logistic Regression: Binary outcomes, odds ratios, and maximum likelihood estimation. Model evaluation using ROC curves and confusion matrices.
โข Time Series Analysis: Autoregressive (AR), moving average (MA), and ARIMA models. Seasonality and trend decomposition. Forecast accuracy assessment.
โข Experimental Design: Randomized controlled trials, factorial designs, and blocking. Power analysis and sample size determination. Analysis of covariance (ANCOVA).
โข Multivariate Analysis: Principal component analysis (PCA), factor analysis, and cluster analysis. Discriminant analysis and multiple correspondence analysis.
โข Machine Learning Techniques: Decision trees, random forests, and support vector machines. Ensemble methods and cross-validation. Model interpretability and explainability.
โข Big Data Analytics: Distributed computing and parallel processing. Data mining and predictive modeling. Scalable statistical modeling and real-time analytics.
โข Ethics in Data Analysis
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