Certificate in Math for a Data-Rich World
-- ViewingNowThe Certificate in Math for a Data-Rich World is a comprehensive course designed to equip learners with essential mathematical skills required in today's data-driven world. This program emphasizes the importance of mathematical thinking and analytical tools necessary to excel in various industries, including finance, technology, and healthcare.
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โข Descriptive Statistics: Measures of central tendency, measures of dispersion, measures of shape, and measures of association.
โข Probability Theory: Definitions of probability, conditional probability, Bayes' theorem, and probability distributions.
โข Inferential Statistics: Hypothesis testing, confidence intervals, and p-values.
โข Linear Algebra: Vectors, matrices, determinants, and vector spaces.
โข Calculus: Limits, derivatives, integrals, and optimization.
โข Regression Analysis: Simple and multiple linear regression, logistic regression, and regularization techniques.
โข Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
โข Data Visualization: Plotting and charting techniques, data storytelling, and visual communication.
โข Machine Learning: Supervised and unsupervised learning, model evaluation, and feature selection.
Note: The above units are suggested based on the primary keyword "Math" and secondary keywords relevant to data analysis and data science.
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