Beschreibung
This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques - probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning. Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensive introduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals.
Autorenporträt
Dr. Srikrishnan Sundararajan has ten years of experience as a Professor and 25 years of experience as Consultant in the information technology (IT) industry. He has previously worked as Senior Professor of Business Analytics at Loyola Institute of Business Administration, Chennai, India; Professor and Head of the Computer Science and Engineering Department of Agni College of Technology, Chennai; and Professor of Systems / Business Analytics in SCMS, Cochin. As an IT Consultant, he has guided multi-cultural teams working from the USA, UK as well as India. He has worked with Tata Consultancy Services, Covansys Inc. USA, UST Global, and HCL Technologies Ltd., where he has contributed to Software Application Development and the Center of Excellence for Technology. He has developed and supported information systems for various Fortune 500 MNCs such as CITI Bank, Bank of America, HSBC, SEGA, AMEX, Prudential, Pearl Assurance, NPI, United Health Group, JD Williams, and Gap Inc.
Warnhinweise
ACHTUNG! Nicht geeignet für Kinder unter 36 Monaten. Erstickungsgefahr durch verschluckbare Kleinteile.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
