Data Science for GTU 18 Course (V - IT/Open Elec.-I - 3151608)  (Paperback, I. A. Dhotre)

Introduction to Business Analytics: Why Analytics, Business Analytics: The Science of Data-Driven Decision Making, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Descriptive, Predictive and Prescriptive Analytics Techniques, Big Data Analytics, Web and Social Media Analytics, Machine Learning Algorithms, Framework for Data-Driven Decision Making, Analytics Capability Building, Roadmap for Analytics Capability Building, Challenges in Data-Driven Decision Making and Future (Chapter - 1) Descriptive Analytics: Introduction to Descriptive Analytics, Data Types and Scales, Types of Data Measurement Scales, Population and Sample, Percentile, Decile and Quartile, Measures of Variation, Measures of Shape - Skewness and Kurtosis (Chapter - 2) Introduction to Probability: Introduction to Probability Theory, Probability Theory - Terminology, Fundamental Concepts in Probability - Axioms of Probability, Application of Simple Probability Rules - Association Rule Learning, Bayes’ Theorem, Random Variables, Probability Density Function (PDF) and Cumulative Distribution Function (CDF) of a Continuous Random Variable, Binomial Distribution, Poisson Distribution, Geometric Distribution, Parameters of Continuous Distributions, Uniform Distribution, Exponential Distribution, Chi-Square Distribution, Student’s t-Distribution, F-Distribution . (Chapter - 3) Sampling and Estimation: Introduction to Sampling, Population Parameters and Sample Statistic Sampling, Probabilistic Sampling, Non-Probability Sampling, Sampling Distribution, Central Limit Theorem (CLT), Sample Size Estimation for Mean of the Population, Estimation of Population Parameters, Method of Moments, Estimation of Parameters Using Method of Moments, Estimation of Parameters Using Maximum Likelihood Estimation. (Chapter - 4) 5. Simple Linear Regression: Introduction to Simple Linear Regression, History of Regression-Francis Galton’s Regression Model, Simple Linear Regression Model