Certificate Statistical Analysis for Airlines
-- ViewingNowThe Certificate Statistical Analysis for Airlines is a comprehensive course designed to provide learners with essential skills in statistical analysis specific to the airline industry. This course is critical for individuals seeking to advance their careers in this field, as it covers key topics such as data analysis, machine learning, and predictive modeling.
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โข Descriptive Statistics: Measures of central tendency, dispersion, and shape; frequency distributions; data visualization using graphs and charts.
โข Probability Theory: Concepts of probability, conditional probability, and independence; probability distributions, including normal and Poisson distributions.
โข Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance; analysis of variance (ANOVA) and t-tests.
โข Regression Analysis: Linear regression, multiple regression, and logistic regression; diagnostics and model selection.
โข Time Series Analysis: Autoregressive integrated moving average (ARIMA) models; exponential smoothing methods; seasonality and trend analysis.
โข Design of Experiments (DoE): Factorial and fractional factorial designs; response surface methodology; optimization.
โข Predictive Modeling: Machine learning algorithms, including decision trees, random forests, and neural networks; cross-validation and model selection.
โข Data Mining: Association rules, sequential patterns, and clustering; data visualization and interpretation.
โข Simulation Modeling: Discrete-event simulation; Monte Carlo simulation; optimization and sensitivity analysis.
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