Principles of Business Analytics
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Principles of Business Analytics Syllabus — Unit-wise Content
The official GTU curriculum for Principles of Business Analytics (subject code 3730401) as prescribed for EACE · Semester 3 divides the course into 5 units, covering 43 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3730401)Unit 1 Unit-I
- Business analytics: Overview of Business Analytics
- Scope of Business analytics
- Business Analytics Process
- Relationship of Business Analytics Process and organization
- competitive advantages of Business Analytics
- Statistical Tools: Statistical Notation
- Descriptive Statistical methods
- Review of probability distribution and data modelling
- sampling and estimation methods overview
Unit 2 Unit – II
- Trendiness and Regression Analysis: Modelling Relationships and Trends in Data
- simple Linear Regression
- Important Resources
- Business Analytics Personnel
- Data and models for Business analytics
- Visualizing and Exploring Data
- Business Analytics Technology
Unit 3 Unit-III
- Organization Structures of Business Analytics: Team management
- Management Issues
- Designing Information Policy
- Ensuring Data Quality
- Measuring the contribution of Business Analytics
- Managing Changes
- Descriptive Analytics
- predictive analytics
- predictive Modelling
- Predictive analytics analysis
- Data Mining
- Data Mining Methodologies
- Prescriptive analytics and its step in the business analytics Process
- Prescriptive Modelling, and nonlinear Optimization
- Teaching Scheme Total Credits Assessment Pattern and Marks Total Marks L T PR C Theory Practical ESE (E) PA(M) ESE (V) PA (I) 03 00 00 03 70 30 00 00 100 Semester – III Subject Code: 3730401 Subject Name: Principles of Business Analytics
Unit 4 Unit-IV
- Forecasting Models
- Forecasting Models for Stationary Time Series
- Forecasting Models for Time Series with a Linear Trend
- Forecasting Time Series with Seasonality
- Regression Forecasting with Casual Variables
- Selecting Appropriate Forecasting Models
- Monte Carlo Simulation and Risk Analysis: Monte Carle Simulation Using Analytic Solver Platform
- New-Product Development Model
- Newsvendor Model
- Overbooking Model
- Cash Budget Model
Unit 5 Unit-V
- Applications of Business Analytics Overview of Business Analytics Applications: Financial Analytics - Marketing Analytics – HR Analytics - Supply Chain Analytics - Retail Industry - Sales Analytics - Web & Social MediaAnalytics- HealthcareAnalytics-EnergyAnalytics-TransportationAnalytics- LendingAnalytics –Sports Analytics-Future of Business Analytics
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