Certificate in Math for Customer Insights
-- ViewingNowThe Certificate in Math for Customer Insights is a comprehensive course designed to equip learners with essential mathematical skills required in data-driven customer insights careers. This program emphasizes the importance of mathematical thinking in interpreting customer behavior and making informed business decisions.
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⢠Descriptive Statistics: Measures of central tendency, variability, and distribution; data visualization using histograms, box plots, and scatter plots.
⢠Probability Theory: Concepts of probability, conditional probability, and Bayes' theorem; discrete and continuous random variables, probability distributions, and joint probability distributions.
⢠Inferential Statistics: Hypothesis testing, confidence intervals, and p-values; statistical significance and power analysis; hypothesis testing for means, proportions, and variances.
⢠Regression Analysis: Simple and multiple linear regression, polynomial regression, and logistic regression; model selection, diagnostics, and evaluation; interaction and dummy variables.
⢠Experimental Design: Randomized controlled trials, factorial designs, and blocking; confounding variables and bias; power calculations and sample size determination.
⢠Time Series Analysis: Autoregressive, moving average, and autoregressive moving average models; stationarity, seasonality, and trend; decomposition, autocorrelation, and partial autocorrelation functions.
⢠Multivariate Analysis: Principal component analysis, factor analysis, and cluster analysis; linear discriminant analysis and multiple correspondence analysis.
⢠Data Mining and Machine Learning: Decision trees, random forests, and support vector machines; ensemble methods and regularization techniques; cross-validation and hyperparameter tuning.
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