Topic 1: I

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Topic 1: Introduction to Analytics Instructor: Dr. Akash Gupta Table of contents 1 What is Analytics 2 1.1 Definition of Analytics . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Importance of Analytics in Decision Making . . . . . . . . . . . . . 2 1.3 Applications of Analytics . . . . . . . . . . . . . . . . . . . . . . 3 2 Types of Analytics 6 2.1 Descriptive Analytics . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Predictive Analytics . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Prescriptive Analytics . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Overview of Different Model Learning Types 9 3.1 Supervised Learning . . . . . . . . . . . . . . . . . . . . . . . . 9 3.2 Unsupervised Learning . . . . . . . . . . . . . . . . . . . . . . . 10 3.3 Semi-Supervised and Reinforcement Learning . . . . . . . . . . . . 10 4 How Predictive Analytics Works 11 5 Data Types in Predictive Analytics 12 5.1 Numerical Data . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 5.2 Categorical Data . . . . . . . . . . . . . . . . . . . . . . . . . . 13 5.3 Textual Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 6 Target Variables 13 6.1 Definition of T...