Business Analytics detailed Syllabus for MBA (Human Resource), R22 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.
For all other MBA (Human Resource) 3rd Sem Syllabus for R22 Regulation JNTUH, do visit MBA (Human Resource) 3rd Sem Syllabus for R22 Regulation JNTUH Subjects. The detailed Syllabus for business analytics is as follows.
Course Objectives:
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Course Outcomes:
Students will be able to:
- Understand the importance of business analytics in practice.
- Learn various rural marketing strategies
- Learn challenges of data modelling.
- Understand the aspects data mining.
- Learn Monte Carlo simulation, risk analysis and decision tree analysis.
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
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Unit – III
Predictive Analytics: Karl Pearson Correlation Technique, 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
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Suggested Readings:
- James E.Sallis, Geir Gripsrud, Ulf Henning Olsson,Ragnhild Silkoset,Research Methods and Data Analysis for Business Decisions: A Primer Using SPSS,Springer International Publising,1e,2021.
- Anil Maheswari, Big Data, Tata McGraw Hill, New Delhi, 2e, 2019.
- James Evans, Business Analytics, Pearson Education,2e, 2017.
- Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, Williams Essential of Business Analytics, Cengage Learning, 2015.
- Foster Provost and Tom Fawcett, Data Science for Business, Shroff Publisher, 2018.
- Seema Acharya and Subhashini Chellappan: Big Data and Analytics, Wiley Publications, New Delhi, 2015.
- Thomas Eri, Wajid Khattack& Paul Buhler: Big Data Fundamentals, Concepts, drivers and Techniques by Prentice Hall of India, New Delhi, 2015.
For detail Syllabus of all other subjects of MBA Human Resource, R22 scheme do visit Human Resource 3rd Sem Syllabus for R22 scheme.
For all the MBA results, visit JNTUH MBA Human Resource all semester results direct links.