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MBA Final Semester Students - Finishing School Training

Machine Learning with R

Applied Business Analytics


Applied business analytics is an intensive, one week course which can be intent to orient students towards industry applications of data analytics. The dynamic curriculum in applied business analytics helps the participant to understand and apply analytics in business context. The scenarios that are covered in this training are from marketing, human resource, operations and financial.




Human Resource Analytics (HR Analytics)


Human resource analytics is an intensive, one week course which is specifically designed and focused on applying the analytics techniques using R in the field of human resources for students of HR specialisation. The main topics that are covered are in Human resource analytics is talent analytics, people analytics, performance analytics and recruitment analytics. This course will handhold the students through the fundamentals of R programming, R syntax, variables and operators till building data analytics models to perform the specific analysis.




Marketing Analytics


Marketing analytics is an intensive, one week course which is designed for marketing students to perform analytics using R. This course will cover the basics of R programming which is essential to perform marketing analytics which includes the fundamentals of R programming, R syntax, variables and operators. The main topics that are covered are marketing mix modelling, pricing analytics, advertising analytics, market segmentation, sales forecasting and target marketing.




Financial Analytics


Financial analytics is an intensive, three-day course which is specifically designed and focused on applying the analytics techniques using R in the field of finance. This is an area that focuses on calculating the profit of a business. Financial analytics helps you to answer all your business questions related to your business and also lets you to forecast the future of your business. In financial analytics, we focus on credit risk modelling, fraud analytics, cash flow analytics, and shareholder value analytics.





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