Mohit
- Rate RM28
- Response 1h
RM28/h
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- Accounting
- Economics
- Financial management
- Human Resource Management
- Business Analysis
Effectively and efficiently transfer my industry and teaching experience to students so as to enable them to face the rigor of the corporate environment and ensure that they evolve into responsible
- Accounting
- Economics
- Financial management
- Human Resource Management
- Business Analysis
Lesson location
About Mohit
Singh, D. B., Chauhan, P., & Agrawal, M. (2016). Contemplation of Common Concerns Related to Brand and Customer. (A. P. Tripathi, Ed.) ASPIRARE: An International Journal of Commerce & Management, 3 (1), 35-39.
Chauhan, P., Sirohi, R., & Agrawal, M. (2016). 'Make in India' Initiative: strategic Wargaming Scenarios to Build India a Global Manufacturing Hub. Journal of Marketing and Communication, 12 (1), 21-25.
Chauhan, P., Agrawal, M., & Chauhan, G. K. (2015). Understanding the Critical aspect of digital Marketing for Meaningful Strategic Marketing Perspective. Journal of Marketing and Communication, 11 (III), 22-30.
Agrawal, Mohit. Agrawal, Anand., Raizada, Abhishek., 2014. Predicting defaults in Commercial Vehicle Loans using Logistic Regression: Case of an Indian NBFC. International Journal of Research in Commerce & Management. May, 5(5), 22-28.
Agrawal, M. & Raizada, A., 2014. An Empirical Analysis of Price Elasticity and Brand Attractions of Toilet Soap Brands in an Organized Retail Environment. Zenith International Journal of Multidisciplinary Research, May, 4(5), pp. 162-175.
Raizada, A., Verma, S. S. & Agrawal, M., 2014. Organizational Change Management- The New Imperetive. Galaxy International Interdisciplinary Research Journal, 1(4), pp. 109-117.
Agrawal, M. & Raizada, A., 2013. Managing Channel Training Costs for Multiple Origination Platforms in Auto Finance: Case of an Indian NBFC. s.l., Bloomsbury Academic Reference Series, pp. 219-227.
Agrawal, M., 2012. Using Available Non-Demographic Data for Default Probability Estimation in Automobile Loans: Case of an Indian NBFC. ZENITH International Journal of Multidisciplinary Research, 2(10), pp. 239-255
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About the lesson
- Primary
- Secondary
- SPM
- +8
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
Other
- English
All languages in which the lesson is available :
English
Singh, D. B., Chauhan, P., & Agrawal, M. (2016). Contemplation of Common Concerns Related to Brand and Customer. (A. P. Tripathi, Ed.) ASPIRARE: An International Journal of Commerce & Management, 3 (1), 35-39.
Chauhan, P., Sirohi, R., & Agrawal, M. (2016). 'Make in India' Initiative: strategic Wargaming Scenarios to Build India a Global Manufacturing Hub. Journal of Marketing and Communication, 12 (1), 21-25.
Chauhan, P., Agrawal, M., & Chauhan, G. K. (2015). Understanding the Critical aspect of digital Marketing for Meaningful Strategic Marketing Perspective. Journal of Marketing and Communication, 11 (III), 22-30.
Agrawal, Mohit. Agrawal, Anand., Raizada, Abhishek., 2014. Predicting defaults in Commercial Vehicle Loans using Logistic Regression: Case of an Indian NBFC. International Journal of Research in Commerce & Management. May, 5(5), 22-28.
Agrawal, M. & Raizada, A., 2014. An Empirical Analysis of Price Elasticity and Brand Attractions of Toilet Soap Brands in an Organized Retail Environment. Zenith International Journal of Multidisciplinary Research, May, 4(5), pp. 162-175.
Raizada, A., Verma, S. S. & Agrawal, M., 2014. Organizational Change Management- The New Imperetive. Galaxy International Interdisciplinary Research Journal, 1(4), pp. 109-117.
Agrawal, M. & Raizada, A., 2013. Managing Channel Training Costs for Multiple Origination Platforms in Auto Finance: Case of an Indian NBFC. s.l., Bloomsbury Academic Reference Series, pp. 219-227.
Agrawal, M., 2012. Using Available Non-Demographic Data for Default Probability Estimation in Automobile Loans: Case of an Indian NBFC. ZENITH International Journal of Multidisciplinary Research, 2(10), pp. 239-255
See more
Rates
Rate
- RM28
Pack rates
- 5h: RM140
- 10h: RM270
online
- RM28/h
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