Description: Practical Business Analytics Using R and Python by Umesh R. Hodeghatta, Umesha Nayak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. Youll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy.Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics.What You Will LearnMaster the mathematical foundations required for business analyticsUnderstand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given taskUse R and Python to develop descriptive models, predictive models, and optimize modelsInterpret and recommend actions based on analytical model outcomesWho This Book Is ForSoftware professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python. Author Biography Dr. Umesh Hodeghatta Rao is an engineer, a scientist, and an educator. He is currently a faculty member at Northeastern University, MA, USA, specializing in data analytics, AI, machine learning, deep learning, natural language processing (NLP), and cyber security. He has more than 25 years of work experience in technical and senior management positions at AT&T Bell Laboratories, Cisco Systems, McAfee, and Wipro. He was also a faculty member at Kent State University, Kent, Ohio, USA and Xavier Institute of Management, Bhubaneswar, India. He has his masters degree in Electrical and Computer Engineering (ECE) from Oklahoma State University, USA and a Ph.D. from the Indian Institute of Technology (IIT), Kharagpur. His research interest is applying AI Machine Learning to strengthen an organizations information security based on his expertise on Information Security and Machine Learning. As a Chief Data Scientist, he is helping business leaders to make informed decisions and recommendations linked to the organizations strategy and financial goals, reflecting an awareness of external dynamics based on a data-driven approach.He has published many journal articles in international journals and conference proceedings. In addition, he has authored books titled "Business Analytics Using R: A Practical Approach" and "The InfoSec Handbook: An Introduction to Information Security" published by Springer Apress, USA. Furthermore, Dr. Hodeghatta has contributed his services to many professional organizations and regulatory bodies. He was an Executive Committee member of IEEE Computer Society (India); Academic advisory member for the Information and Security Audit Association (ISACA), USA; IT advisor for the government of India; Technical Advisory Member of the International Neural Network Society (INNS) India; Advisory member of Task Force on Business Intelligence & Knowledge Management; He is listed in Whos Who in the World in theyear 2012, 2013, 2014, 2015 and 2016. He is also a senior member of the IEEE, USA. Umesha Nayak is a director and principal consultant of MUSA Software Engineering Pvt. Ltd. which focuses on systems/process/management consulting. He has 33 years experience, of which 12 years are in providing consulting to IT / manufacturing and other organizations from across the globe. He is a Master of Science in Software Systems; Master of Arts in Economics; CAIIB; Certified Information Systems Auditor (CISA), and Certified Risk and Information Systems Control (CRISC) professional from ISACA, US; PGDFM; Certified Ethical Hacker from EC Council; Certified Lead Auditor for many of the standards; Certified Coach among others. He has worked extensively in banking, software development, product design and development, project management, program management, information technology audits, information application audits, quality assurance, coaching, product reliability, human resource management, and consultancy. He was Vice President and Corporate Executive Council member at Polaris Software Lab, Chennai prior to his current assignment. He has also held various roles like Head of Quality, Head of SEPG and Head of Strategic Practice Unit – Risks & Treasury at Polaris Software Lab. He started his journey with computers in 1981 with ICL mainframes and continued further with minis and PCs. He was one of the founding members of the information systems auditing in the banking industry in India. He has effectively guided many organizations through successful ISO 9001/ISO 27001/CMMI and other certifications and process/product improvements. He has co-authored the open access book The InfoSec Handbook: An Introduction to Information Security, published by Apress. Details ISBN 1484287533 ISBN-13 9781484287538 Title Practical Business Analytics Using R and Python Author Umesh R. Hodeghatta, Umesha Nayak Format Paperback Year 2023 Pages 706 Edition 2nd Publisher APress GE_Item_ID:141788608; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. 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Price: 56.59 USD
Location: Fairfield, Ohio
End Time: 2024-11-25T04:15:57.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781484287538
Book Title: Practical Business Analytics Using R and Python
Number of Pages: Xxv, 706 Pages
Publication Name: Practical Business Analytics Using R and Python : Solve Business Problems Using a Data-Driven Approach
Language: English
Publisher: Apress L. P.
Subject: Intelligence (Ai) & Semantics, Economics / General, Databases / General, Programming Languages / Python
Publication Year: 2023
Item Weight: 48.3 Oz
Type: Textbook
Item Length: 10 in
Subject Area: Computers, Business & Economics
Author: Umesha Nayak, Umesh R. Hodeghatta
Item Width: 7 in
Format: Trade Paperback