Advanced Certificate in Hypothesis Formulation for Data Scientists
-- ViewingNowThe Advanced Certificate in Hypothesis Formulation for Data Scientists is a comprehensive course designed to enhance the skills of data professionals. This certificate program focuses on teaching learners how to formulate data hypotheses effectively, a crucial skill for making informed business decisions.
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โข Fundamentals of Hypothesis Testing: Introduction to hypothesis testing, types of errors, null and alternative hypotheses, p-values, and significance levels.
โข Statistical Inference and Probability: Overview of statistical inference, probability distributions, and the central limit theorem.
โข Parametric vs Nonparametric Tests: Comparison of parametric and nonparametric tests, including advantages, disadvantages, and appropriate use cases.
โข Hypothesis Testing in Regression Analysis: Application of hypothesis testing in regression analysis, including t-tests, F-tests, and residual analysis.
โข Power Analysis and Sample Size Determination: Understanding power analysis, sample size determination, and their impact on hypothesis testing.
โข Multiple Testing and Correction Techniques: Introduction to multiple testing, family-wise error rate, and false discovery rate.
โข Bayesian Hypothesis Testing: Overview of Bayesian hypothesis testing, including Bayes factors and posterior probabilities.
โข Hypothesis Testing in Experimental Design: Application of hypothesis testing in experimental design, including randomized controlled trials and factorial designs.
โข Computational Tools for Hypothesis Testing: Hands-on experience with computational tools for hypothesis testing, including R and Python libraries.
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