Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and Technologies (Record no. 98718)

MARC details
000 -LEADER
fixed length control field 02455 a2200169 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240823b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789388511957
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74015
Cutter ARO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aroraa Gaurav
245 ## - TITLE STATEMENT
Title Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools, and Technologies
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc BPB Publications
Date of publication, distribution, etc 2022
Place of publication, distribution, etc India
300 ## - PHYSICAL DESCRIPTION
Extent 418
520 ## - Remark
Summary, etc These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book "Data Analytics: Principles, Tools, and Practices" can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science.TABLE OF CONTENTS1. Database Management System2. Online Transaction Processing and Data Warehouse3. Business Intelligence and its deeper dynamics4. Introduction to Data Visualization5. Advanced Data Visualization6. Introduction to Big Data and Hadoop7. Application of Big Data Real Use Cases8. Application of Big Data9. Introduction to Machine Learning10. Advanced Concepts to Machine Learning11. Application of Machine Learning<br/><br/>Source: https://www.amazon.in/Data-Analytics-Principles-Practices-Technologies/dp/9388511956/ref=sr_1_1?crid=1EHUNXG02XBQO&dib=eyJ2IjoiMSJ9.RcLLG2JmRabRlVmNMVcpSQ.YMZGXhuKRnWYpyFGA51vx_5dWcqbUyZWv3i8UuytHI0&dib_tag=se&keywords=9789388511957&qid=1724386355&sprefix=%2Caps%2C415&sr=8-1
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Analytics
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a Business Analytics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Collection Type Full call number Barcode Date last seen Cost, replacement price Koha item type
    Dewey Decimal Classification     Reference book Main Library Main Library Analytics 12/07/2024 5856 479.20 Indian Book 005.74015 ARO 119468 12/07/2024 599.00 Book

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