Data analytics using R

By:

Acharya, Seema

Material type: Text

TextPublication details: New Dellhi McGraw Hill Education (India) Pvt. Ltd. 2018Description: ix, 555 pISBN:

9789352605248

Subject(s):

DDC classification:

005.133 ACH

Summary: his book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study. This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’. • Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc. • 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic • Pedagogy o 300+chapter-end and check your progress questions for self-assessment o 200Multiple-choice questions o 10+hands-on practical exercises o Exhaustiveillustrations

List(s) this item appears in: IT & Decision Sciences | HR & OB

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	005.133 ACH (Browse shelf(Opens below))	1	Available		000663

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous								Next
Previous	005.13 LAN R for everyone: advanced analytics and graphics	005.13 LAN R for everyone: advanced analytics and graphics	005.13 SEB Concepts of programming languages	005.133 ACH Data analytics using R	005.133 ACH Reimagining data visualization using python	005.133 ASL Practicing R for statistical computing	005.133 BEN Applied text analysis with Python: enabling language-aware data products with machine learning	Next

his book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study.

This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.

• Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc.

• 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic

• Pedagogy

o 300+chapter-end and check your progress questions for self-assessment

o 200Multiple-choice questions

o 10+hands-on practical exercises

o Exhaustiveillustrations

There are no comments on this title.

to post a comment.