BA4212 Data Analysis and Business Modeling (Laboratory) Syllabus:
BA4212 Data Analysis and Business Modeling (Laboratory) Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVE :
to have hands-on experience on data analysis for business modeling.
Spreadsheet Software and Data Analysis Tools
Details of experiments
- Descriptive Statistics
- Parametric Tests
- Non-parametric Tests
- Correlation & Regression
- Forecasting
- Extended experiment – 1
- Portfolio Selection
- Risk Analysis & Sensitivity Analysis
- Revenue Management
- Extended experiment – 2
- Transportation & Assignment
- Networking Models
- Queuing Theory
- Inventory Models
- Extended experiments – 3
COURSE OUTCOMES:
1. Deep knowledge about the nature of data and conducting hypothesis testing using various data analysis techniques
2. Facilitates to identify the relationship between variables using data analytical tools
3. Provides understanding about forecasting in real time business world using analytical tools
4. Ability to conduct Risk and sensitivity analysis and portfolio selection based on business data
5. Enhances knowledge about networking, inventory models and queuing theory using data analytical tools
REFERENCES:
1. David R. Anderson, et al, “An Introduction to Management Sciences: Quantitative approaches to Decision Making”, (13th edition) South-Western College Pub, 2011.
2. William J. Stevenson, CeyhunOzgur, “Introduction to Management Science with Spreadsheet”, Tata McGraw Hill, 2009.
3. Hansa Lysander Manohar, “Data Analysis and Business Modelling using Microsoft Excel” PHI, 2017.
4. David M. Levine et al, “Statistics for Managers using MS Excel” (6th Edition) Pearson,2010.
5. Minnick, C. WebKit for Dummies. John Wiley & Sons, (2012).