JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objective

To understand the importance of ever-increasing volume, variety and velocity of

data in organization and application of data analytical tools for decision making.

Learning Outcome

Students will be able to understand a) Importance of Analytics b) Understanding

the analytical tools c) Application of Analytical tools to solve business problems.

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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.

Suggested Readings:

• James Evans, Business Analytics, 2e, Pearson, 2017.
• Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, Williams Essential of Business Analytics, Cengage Learning.
• Thomas Eri, Wajid Khattack& Paul Buhler: Big Data Fundamentals, Concepts, drivers and Techniques by Prentice Hall of India, New Delhi, 2015
• Wilfgang Jank, Buisness Analytics for Managers, Springer, 1e, 2014.
• Akil Maheswari, Big Data, Upskill ahead by Tata McGraw Hill, New Delhi, 2016
• Foster Provost and Tom Fawcett, Data Science for Business, Shroff Publisher, 2018.
• Seema Acharya & Subhashini Chellappan: Big Data and Analytics, Wiley Publications, New Delhi, 2015.