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National College of Ireland

NCI LIBRARY

Data Analytics Subject Guide: Library Resources

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This guide will give you an introduction to finding information on data analytics. You can use it to: 

  • locate books, eBooks and journal articles
  • search relevant databases
  • connect to useful websites
  • reference properly and avoid plagiarism

The books in the library are organised first by number and then alphabetically by author's surname. Each book number corresponds to a subject area. Use the Library Catalogue to search for books from your reading lists and course material. If you need help using the Library Catalogue, take a look at our Finding Books guide.

Remember to consult your reading lists and course material for more detail on your recommended texts. To help you get started the numbers below may be helpful for finding books. You can take a look at the Library Map to see where the subject areas are located in the library

Data Analytics Subject Areas:

005.74 Database Systems
006.3 / 006.312 Data Mining
519.5 Statistics for Business and Economics/Data Analysis
658 Management
658.05 Computer Applications
658.4038 Business Information Systems /  Management Information Systems
808.066 / 808.0666 Academic Writing / Research in Computing

You can also access some relevant material by using the eBooks available through the library. You can access our main ebook databases here.

Recommended Data Analytics eBooks:

Barker, T. (2013) Pro data visualization using R and JavaScript. O'Reilly.

Russell, M. A. and Klassen, M. (2019) Mining the social web. 3rd edn. O'Reilly.

EMC Education Services (2012) Information storage and management: Storing, managing, and protecting digital information in classic, virtualized, and cloud environments. 2nd edn. O'Reilly.

Teetor, P. and Long, J. D. (2019) R Cookbook. 2nd edn. O'Reilly.

Holmes, A. (2014) Hadoop in practice. 2nd edn. O'Reilly.

Ware, C. (2012) Information visualization. 3rd edn. O'Reilly.

Kimball, R. and Ross, M. (2013) The data warehouse toolkit: The definitive guide to dimensional modeling. 3rd edn. O'Reilly.

White, T. (2015) Hadoop: The definitive guide. 4th edn. O'Reilly.

Linoff, G. S. and Berry, M. J. A. (2011) Data mining techniques: For marketing, sales, and customer relationship management. 3rd edn. O'Reilly. Witten, I. H., Frank, E., Hall, M. A. and Pal, C. J. (2016) Data mining: Practical machine learning tools and techniques. 4th edn. O'Reilly.
McClave, J. and Sincich, T. (2013) Statistics. 12th edn. Dawsonera. Zobel, J. (2014) Writing for computer science. 3rd edn. Dawsonera.
McKinney, W. (2017) Python for data analysis. 2nd edn. O'Reilly.    

 

You can find more eBooks by searching the library catalogue or the following databases:

DawsonEra Books by DawsonEra

User Guide

EBSCO eBook Business Collection by EBSCO

User Guide

 

O'Reilly Learning by O'Reilly

User Guide

In order to access journal articles and other online material for your subject area, you can consult the recommended databases that are relevant to your particular subject area individually and are displayed below. For a full list of databases NCI Library subscribes to, go to A-Z Databases on the library webpage.

Recommended Data Analytics Databases:

Database & Subject Areas Access Through

ACM Digital Library
Subject Areas: Computing

Discovery

A-Z Databases

User Guide

Business Source Ultimate
Subject Areas: Accounting, Business, Economics, Finance, Human Resources, Law, Management, Marketing, Psychology

Discovery

A-Z Databases

User Guide

IEEE Xplore
Subject Areas: Computing

Discovery

A-Z Databases

User Guide
Lecture Notes in Computer Science
Subject Areas: Computing

Discovery

A-Z Databases

User Guide

ProQuest Business Premium Collection
Subject Areas: Business, Entrepreneurship & Management

Discovery

A-Z Databases

User Guide

SAGE Journals
Subject Areas: 
Economics, Management & Marketing

Discovery

A-Z Databases

User Guide

SAGE Research Methods

Includes over 800 books, reference works, journal articles and videos from SAGE’s research methods list.
Subject Areas: writing a research question, conducting a literature review, choosing a research method, collecting and analysing data and writing up findings

A-Z Databases

User Guide

ScienceDirect
Subject Areas: 
Computing

Discovery

A-Z Databases

User Guide

Scopus

Abstract & citation database of peer-reviewed literature review
Subject Areas: Science, Technology, Medicine, Social Sciences, Arts & Humanities

Discovery

A-Z Databases

User Guide

Statista
Statistics platform, over 1.5 million data sets
Subject Areas: Business, Commerce, Company Profiles, Finance, Marketing, Statistics, Reports

Off campus (select National College of Ireland)

User Guide

You can access the journals below through the A-Z eJournals page or through Discovery.

Recommended Data Analytics Journals:

ACM Transactions on Knowledge Discovery from Data (Database: ACM Digital Library)
Communications of the ACM (Database: ACM Digital Library / Business Source Ultimate)
Data Mining & Knowledge Discovery (Database: ProQuest Business Premium Collection)
IEEE Transactions on Knowledge & Data Engineering (Database: IEEE Xplore)
Information Visualization (Database: SAGE Journals)

In addition to using the college resources, your reading lists also recommend consulting a number of external sites. Below is a selection of some recommended websites.

Recommended Data Analytics External Websites:

Apache Cassandra http://cassandra.apache.org/
Apache Hadoop http://hadoop.apache.org/
Apache HBase http://hbase.apache.org/
Central Statistics Office https://www.cso.ie/en/index.html
Cloudera - The Hadoop Ecosystem https://www.cloudera.com/developers/cloudera-labs.html
Dataset Search https://datasetsearch.research.google.com/

David Lane

http://davidmlane.com/hyperstat/

InfoVis: Wiki https://infovis-wiki.net/wiki/Main_Page
Interaction Design Foundation - Data Visualization for Human Perception https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception
Lescovec, J., Rajaraman, A., Ullman, J. - Mining of Massive Datasets http://www.mmds.org/
MIT Open Courseware - Introduction to Algorithms https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/
MongoDB https://www.mongodb.com/
MySQL https://www.mysql.com/
R Project http://www.r-project.org/

Notice:

Owing to the current isolation restrictions, we cannot currently offer face to face appointments, but please be aware we are still fully operational in terms of offering remote assistance for your assignments and research. If we can be of any help whatsoever, please do not hesitate to email us.

Keith
Brittle

Cory
Newbigging

 


For Quick Queries:


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https://libguides.ncirl.ie/libraryhelpcentre

Library Map

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