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Define scarcity, opportunity cost, and elasticity, model supply and demand with price ceilings and taxes, and apply aggregate supply-demand to inflation, GDP, and fiscal and monetary policy.
Build analytics foundations: apply elasticity, marginal analysis and profit maximization, compute descriptive statistics, probability and hypothesis tests, and program Python with functions, lists and NumPy.
Learn programming principles and Python syntax by coding along with hands-on exercises, then apply Python functions to basic business analytics problems.
Learn to compute and interpret descriptive statistics, work with probability and sampling distributions, and apply estimation and hypothesis testing to business and economic data.
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