Masterclass Certificate in Math for Data-Driven Project Decisions
-- ViewingNowThe Masterclass Certificate in Math for Data-Driven Project Decisions is a crucial course for professionals seeking to make informed, math-backed decisions in their projects. This program covers essential mathematical concepts and data analysis techniques, enabling learners to turn raw data into actionable insights.
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• Math Foundations for Data Analysis: Descriptive statistics, probability, distributions, and linear algebra.
• Probability Theory in Data Science: Conditional probability, Bayes' theorem, and random variables.
• Statistical Inference: Hypothesis testing, confidence intervals, and p-values.
• Regression Analysis: Simple and multiple linear regression, polynomial regression, and logistic regression.
• Experimental Design: A/B testing, randomization, and sample size calculation.
• Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
• Multivariate Analysis: Principal component analysis (PCA), factor analysis, and cluster analysis.
• Optimization Techniques: Linear programming, gradient descent, and stochastic optimization.
• Machine Learning Mathematics: Cost functions, regularization, and model evaluation metrics.
These units provide a comprehensive overview of the mathematical concepts required for effective data-driven project decision making.
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