Graduate Certificate in Business Statistics for Finance
-- ViewingNowThe Graduate Certificate in Business Statistics for Finance is a powerful course designed to equip learners with essential data analysis skills crucial in the financial sector. This program's importance lies in its focus on modern statistical techniques, which are highly sought after in today's data-driven economy.
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⢠Descriptive Statistics: Central tendency, dispersion, skewness, and kurtosis; measures of position, percentiles, and quartiles; univariate and bivariate frequency distributions; graphical representation of data using histograms, frequency polygons, cumulative distribution functions, and box-and-whisker plots.
⢠Probability Theory: Conditional and joint probability, Bayes' theorem, random variables, probability distributions, cumulative distribution functions, and expected values.
⢠Statistical Inference: Point estimation, confidence intervals, hypothesis testing, likelihood ratio tests, and Bayesian inference.
⢠Regression Analysis: Simple linear regression, multiple linear regression, heteroscedasticity, autocorrelation, residual analysis, and diagnostics.
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA), seasonal decomposition of time series data, and spectral analysis.
⢠Multivariate Analysis: Principal component analysis (PCA), factor analysis, cluster analysis, discriminant analysis, and canonical correlation analysis.
⢠Design of Experiments: Factorial designs, randomized block designs, incomplete block designs, and response surface methodology.
⢠Statistical Quality Control: Control charts, acceptance sampling, and process capability analysis.
⢠Data Mining and Machine Learning: Decision trees, random forests, support vector machines, and neural networks.
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