Applied Analytics through Case Studies Using SAS and R

Practical and hands-on approach in building the predictive model and machine learning technique using SAS & R

Covers real world business case studies from 6 industrial domains

Application of analytical approach to industrial business problems

Autorentext
Deepti Gupta completed her MBA in Finance and PGPM in operation research in 2010. She has worked with KPMG and IBM private limited as Data Scientist and is currently working as a data science freelancer. Deepti has extensive experience in predictive modeling and machine learning with an expertise in SAS and R. Deepti has developed data science courses, delivered data science trainings, and conducted workshops for both corporate and academic institutions. She has written multiple blogs and white papers. Deepti has a passion for mentoring budding data scientists.

Inhalt
Chapter 1: Role of Analytics in Various Industries.- Chapter 2: Banking Case Study with Analytical Solutions.- Chapter 3: Retail Case Study with Analytical Solutions.- Chapter 4: Telecommunication Case Study with Analytical Solutions.- Chapter 5: Healthcare Case Study with Analytical Solutions.- Chapter 6: Airline Case Study with Analytical Solutions.- Chapter 7: FMCG Case Study with Analytical Solutions.