Global Certificate Math Education: Data-Driven Approaches
-- ViewingNowThe Global Certificate Math Education: Data-Driven Approaches is a comprehensive course designed to empower educators with the latest data-driven techniques in mathematics education. This course highlights the importance of data in teaching, learning, and assessment, addressing the growing industry demand for data literacy in education.
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โข Data Analysis: Descriptive and Inferential Statistics, Data Visualization, Measures of Central Tendency and Dispersion, Probability Distributions
โข Probability Theory: Conditional Probability, Bayes' Theorem, Random Variables, Joint and Marginal Probability Distributions
โข Statistical Inference: Hypothesis Testing, Confidence Intervals, Point Estimation, Regression Analysis
โข Data Modeling: Linear and Nonlinear Models, Time Series Analysis, Survival Analysis, Multivariate Analysis
โข Machine Learning: Supervised and Unsupervised Learning, Classification, Clustering, Neural Networks
โข Data Mining: Association and Sequential Pattern Mining, Anomaly Detection, Text Mining, Data Warehousing
โข Big Data Analytics: Distributed Computing, MapReduce, NoSQL Databases, Data Streaming
โข Ethics in Data Science: Privacy, Bias, Fairness, Transparency, Accountability
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