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Unit-I
Introduction to Data analytics
Introduction to Data – Importance of Analytics – Data for Business Analytics – Big Data – Business Analytics
in Practice. Data Visualization – Data Visualization Tools, Data Queries, Statistical Methods for Summarizing Data, Exploring Data using Pivot Tables.
Unit-II
Descriptive Statistical Measures
Population and Samples, Measures of Location, Measures of Dispersion, Measures of Variability, Measures of Association. Probability Distribution and Data Modeling – Discrete Probability Distribution, Continuous Probability Distribution, Random Sampling from Probability Distribution, Data Modeling and Distribution Fitting.
Unit-III
Predictive Analytics
Karl Pearson Correlation Techniques – Multiple Correlation – Spearman’s Rank Correlation – Simple and Multiple Regression – Regression by the Method of Least Squares – Building Good Regression Models – Regression with Categorical Independent Variables – Linear Discriminant Analysis – One-way and Two-way ANOVA.
Unit-IV
Data Mining
Scope of Data Mining, Data Exploration and Reduction, Unsupervised Learning – Cluster Analysis, Association
Rules, Supervised Learning – Partition Data, Classification Accuracy, Prediction Accuracy, k-nearest Neighbors,
Classification and Regression Trees, Logistics Regression.
Unit-V
Simulation
Random Number Generation, Monte Carlo Simulation, What if Analysis, Verification and Validation, Advantages and Disadvantages of Simulation, Risk Analysis, Decision Tree Analysis.
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CategoriesManagement
Format EPUB
TypeeBook