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141 Pages • Complete Study Notes • Year: Pre-2021
Lecture 1: Introduction to Programming and Business Analytics Lecture 2: Variables, data types, and control flow I Lecture 3: Control flow II and strings Lecture 4: Built-in compound data types Lecture 5: Functions, modules, and packages Lecture 6: Data arrays and data visualization Lecture 7: Pandas Lecture 8: Facts from data Lecture 9: Confidence intervals and hypothesis testing Lecture 10: Introduction to Linear Regression Lecture 11: Linear Regression for explanatory modelling: concepts and interpretations Lecture 12: Linear Regression for explanatory modelling: nonlinearity and categorical variables
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