HD 83 ETC1000 Summary + Exam Q&A

Description

Week 1: • Data. Information. Decisions • Data Sources • Descriptive Analytics – Preparing the Data • Descriptive Analysis – Categorical Data Week 2: • Descriptive Analytics – Numerical Data, Distributions • Descriptive Analytics – Numerical Data, Average & Spread • Diagnostic Analytics – Categorical Data • Diagnostic Analytics – Comparing across Groups Week 3: • Diagnostic Analytics – Correlation • Predictive Analytics - Estimation Week 4: • Predictive Analytics – Confidence Intervals • Predictive Analytics – Sampling Distribution Theory Week 5: • Predictive Analytics – Differences across Groups • Predictive Analytics – Differences across Groups (Proportions) Week 6: • Predictive Analytics – Hypothesis Testing Theory • Predictive Analytics & Prescriptive Analytics: Models Week 7: • Predictive Analytics & Prescriptive Analytics: Linear Regression Models • Predictive Analytics & Prescriptive Analytics: Regression Models & Estimation Week 8: • Predictive and Prescriptive Analytics: Evaluating Regression Models Predictive Analytics: Regression Models for Prediction