Description
Data Analytics By R Shankarmani by Dr. Radha Shankarmani and Dr. M. Vijayalakshmi is a practical textbook covering important concepts, methods, and technologies used in data analytics. Published by Wiley India, the book is useful for students and learners developing skills in modern data analysis. (SKU: A2Z047)
ISBN: 9789354641824
Authors: Dr. Radha Shankarmani & Dr. M. Vijayalakshmi
Publisher: Wiley India
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Data Analytics By R Shankarmani Overview
Data Analytics By R Shankarmani introduces students to the principles and techniques used to analyse data and support informed decision-making. The book covers both established statistical methods and modern approaches for handling large and complex datasets.
The text discusses methods such as linear regression, time series forecasting, and Bayesian analysis. It also introduces big-data technologies and frameworks, including Hadoop, MapReduce, Hive, and NoSQL systems.
Moreover, the book covers areas such as data streams, clustering, and real-time analytics. This combination helps learners understand how analytics approaches have developed from traditional statistical methods to large-scale data processing.
Key Topics Covered in Data Analytics By R Shankarmani
- Introduction to Data Analytics
- Linear Regression
- Time Series Forecasting
- Bayesian Analysis
- Big Data Analytics
- Hadoop
- MapReduce
- Hive
- NoSQL Systems
- Data Stream Processing
- Clustering
- Real-Time Analytics
What You Will Learn From Data Analytics By R Shankarmani
- Understand fundamental data analytics concepts
- Apply statistical techniques to data
- Understand regression and forecasting methods
- Explore approaches for analysing large datasets
- Learn the basic role of Hadoop and MapReduce
- Understand Hive and NoSQL ecosystems
- Explore clustering techniques
- Understand data stream and real-time analytics
- Develop analytical problem-solving skills
Key Features of Data Analytics By R Shankarmani
- Covers traditional and modern data analytics approaches
- Explains important statistical methods
- Introduces big-data processing frameworks
- Covers Hadoop, MapReduce, and Hive
- Discusses NoSQL data environments
- Includes clustering and data stream concepts
- Useful for academic study and revision
- Suitable for students learning data analytics
Who Should Buy Data Analytics By R Shankarmani?
This book is suitable for:
- B.Tech and B.E. students
- Computer Science students
- Information Technology students
- Data Science students
- MCA students
- M.Tech students
- Students studying Data Analytics
- Students studying Big Data
- Professionals developing analytics knowledge
Book Condition
This product may be available in Used Like New and Like New – Never Used conditions.
Used Like New
Lightly used and manually inspected before dispatch. The copy remains suitable for regular academic reading and study.
Like New – Never Used
An unused or nearly unused copy in excellent condition, subject to the available stock.
For more details, visit our Book Condition Guide.
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Frequently Asked Questions
What does this book cover?
The book covers data analytics concepts along with statistical methods, big-data frameworks, clustering, data streams, and real-time analytics. It provides a broad introduction to both traditional and modern approaches to analysing data.
Does the book cover Big Data technologies?
Yes. The text introduces technologies and frameworks such as Hadoop, MapReduce, Hive, and NoSQL systems. These topics help students understand approaches used for processing and analysing large datasets.
Is this book suitable for Data Science students?
Yes. The combination of statistical methods, big-data concepts, clustering, and analytics techniques makes the book relevant to students studying Data Science, Computer Science, Information Technology, and related fields.
Is this book useful for self-study?
Yes. Students can use the text to build their understanding of data analytics concepts and revise important statistical and technological topics alongside their academic coursework.
What editions and ISBN details apply to this book?
This listing uses ISBN 9789354641824 and ISBN-10 9354641822. The book was published by Wiley India, with the supplied publication date of 8 July 2022.
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