Exam Details
| Subject | business analytics | |
| Paper | ||
| Exam / Course | mba | |
| Department | ||
| Organization | TKR Institute Of Management & Science | |
| Position | ||
| Exam Date | January, 2019 | |
| City, State | telangana, hyderabad |
Question Paper
FACULTY OF MANAGEMENT
M.B.A. III Semester (CBCS) Examination, January 2019
Subject: Business Analytics
Paper MB 305 4
Discipline Specific
(Elective II Systems)
Time: 3 Hours Max.Marks: 80
Note: Answer all the questions from Part-A and Part-B.
Each question carries 4 marks in Part-A and 12 marks in Part-B.
PART A (5x4 20 Marks)
[Short Answer Type]
1 Briefly explain about the term Business Analytics
2 List the charts available in MS-Excel
3 Define the term Data Mining
4 Cutting Plane algorithm
5 Loops
PART B (5x12 60 Marks)
[Essay Answer Type]
6 Explain the various aspects of "Data for Business Analytics".
OR
What is Big Data? Explain the importance of Big Data.
7 What do you mean by measures of Central Tendency? Explain.
OR
Explain the uses of MS-Excel in data visualization and exploration.
8 What do you mean by Regression Analysis? Give any two examples.
OR
Explain the various approaches in Data Mining.
9 What is Linear Optimization? Explain.
OR
Explain the methods of Integer Optimization.
10 Explain about the features and environment of R package.
OR
How to read and write the data in Explain with examples.
M.B.A. III Semester (CBCS) Examination, January 2019
Subject: Business Analytics
Paper MB 305 4
Discipline Specific
(Elective II Systems)
Time: 3 Hours Max.Marks: 80
Note: Answer all the questions from Part-A and Part-B.
Each question carries 4 marks in Part-A and 12 marks in Part-B.
PART A (5x4 20 Marks)
[Short Answer Type]
1 Briefly explain about the term Business Analytics
2 List the charts available in MS-Excel
3 Define the term Data Mining
4 Cutting Plane algorithm
5 Loops
PART B (5x12 60 Marks)
[Essay Answer Type]
6 Explain the various aspects of "Data for Business Analytics".
OR
What is Big Data? Explain the importance of Big Data.
7 What do you mean by measures of Central Tendency? Explain.
OR
Explain the uses of MS-Excel in data visualization and exploration.
8 What do you mean by Regression Analysis? Give any two examples.
OR
Explain the various approaches in Data Mining.
9 What is Linear Optimization? Explain.
OR
Explain the methods of Integer Optimization.
10 Explain about the features and environment of R package.
OR
How to read and write the data in Explain with examples.
Other Question Papers
Subjects
- accounting for management
- banking and insurance
- business analytics
- business communication
- business intelligence
- business law and environment
- business process reengineering
- business research methods
- compensation management (hr)
- compensation management (major)
- consumer behaviour (major)
- customer relationship management
- database management systems
- decision support systems
- e-business
- economic environment & policy
- entrepreneurial development
- financial accounting and analysis
- financial management
- financial risk management (f)
- financial risk management (major)
- financial services and systems (minor)
- fundamentals of technology management
- human resource management
- i.t. applications for management
- information technology applications for business
- innovation management
- international business
- international finance (f)
- investment management (major)
- labour laws and employee relations
- leadership and change management
- management and organizational behaviour
- managerial communication
- managerial economics
- marketing engineering
- marketing management
- operations management
- operations research
- organization development (hr)
- organizational development (minor)
- performance management (major)
- product & brand management (m)
- product and brand management (major)
- promotion & distribution management (m)
- promotion and distribution management (minor)
- research for marketing decisions
- retail management
- services and global marketing (minor)
- software project management
- startup management
- statistics for management
- strategic management
- strategic management accounting (minor)
- supply chain management
- talent and knowledge management (minor)
- total quality management