What Is Data Science And Analytics
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Data Science and Analytics
Author: Dr.Venkateswara Rao Gera
language: en
Publisher: Leilani Katie Publication
Release Date: 2024-09-07
Dr.Venkateswara Rao Gera, Professor, Department of Computer Science and Engineering, Kallam Haranadhareddy Institute of Technology, NH-16, Chowdavaram, Guntur, (D.T), Andhra Pradesh, India. Dr.Padamata Ramesh Babu, Associate Professor, Department of Computer Science and Engineering – Data Science, Bapatla Engineering College, Bapatla (D.T), Andhra Pradesh, India. Dr.Kalyankumar Dasari, Associate Professor & Head, Department of Computer Science and Engineering - Cyber Security, Chalapathi Institute of Technology, A.R.Nagar, Mothadaka, Guntur (D.T), Andhra Pradesh, India. Dr.Shaik Mohammed Jany, Associate Professor, Department of Information Technology and CSE (AI), Narasaraopeta Engineering College, Narasaraopeta, Palnadu (D.T), Andhra Pradesh, India.
Data Science and Analytics (with Python, R and SPSS Programming)
The Book has been written completely as per AICTE recommended syllabus on "Data Sciences". SALIENT FEATURES OF THE BOOK: Explains how data is collected, managed and stored for data science. With complete courseware for understand the key concepts in data science including their real-world applications and the toolkit used by data scientists. Implement data collection and management. Provided with state of the arts subjectwise. With all required tutorials on R, Python and Bokeh, Anaconda, IBM SPSS-21 and Matplotlib.
Data Science and Analytics Strategy
This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements. The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness. Data Science and Analytics Strategy: An Emergent Design Approach has been written for professionals who are looking to build data science and analytics capabilities within their organisations as well as those who wish to expand their knowledge and advance their careers in the data space. Providing deep insights into the intersection between data science and business, this guide will help professionals understand how to help their organisations reap the benefits offered by data. Most importantly, readers will learn how to build a fit-for-purpose data science capability in a manner that avoids the most common pitfalls.