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Beginners Guide For Data Analysis Using R Programming
About Book
R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.
About Author
Dr. Jeeva Jose completed Ph. D. in Computer Science from Mahatma Gandhi University, Kerala, & is a faculty member at BPC College, Kerala. Her passion is teaching & areas of interests include world wide web, Data Mining & Cyber laws. She has been in higher education for the last 15 years & has completed three research projects funded by UGC & KSCSTE. She has published more than 20 research papers in various refereed journals & conference proceedings. She is a recipient of ACM-W Scholarship provided by Association for Computing Machinery, New York.
Table of Content
Chapter 1: Introduction Chapter 2: Data Types & Operations Chapter 3: Flow Control Chapter 4: Functions & Packages Chapter 5: Charts and Graphs Chapter 6: Connecting R to External Interfaces Chapter 7: Elementary Statistics Chapter 8: Tests of Hypotheses Chapter 9: Non Parametric Tests Chapter 10: Analysis of Variance Chapter 11: Basic Multivariate & Analysis Chapter 12: Advanced Multivariate Analysis Chapter 13: Advanced Graphs
R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.
About Author
Dr. Jeeva Jose completed Ph. D. in Computer Science from Mahatma Gandhi University, Kerala, & is a faculty member at BPC College, Kerala. Her passion is teaching & areas of interests include world wide web, Data Mining & Cyber laws. She has been in higher education for the last 15 years & has completed three research projects funded by UGC & KSCSTE. She has published more than 20 research papers in various refereed journals & conference proceedings. She is a recipient of ACM-W Scholarship provided by Association for Computing Machinery, New York.
Table of Content
Chapter 1: Introduction Chapter 2: Data Types & Operations Chapter 3: Flow Control Chapter 4: Functions & Packages Chapter 5: Charts and Graphs Chapter 6: Connecting R to External Interfaces Chapter 7: Elementary Statistics Chapter 8: Tests of Hypotheses Chapter 9: Non Parametric Tests Chapter 10: Analysis of Variance Chapter 11: Basic Multivariate & Analysis Chapter 12: Advanced Multivariate Analysis Chapter 13: Advanced Graphs
368 pages, Paperback
Published January 1, 2018
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