This guide will give you an introduction to finding information on data analytics. You can use it to:
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:
|006.3 / 006.312||Data Mining|
|519.5||Statistics for Business and Economics/Data Analysis|
|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:
|James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An introduction to statistical learning: With applications in R. VLeBooks.||Salkind, N. J. and Frey, B. (2020) Statistics for people who (think they) hate statistics. 7th edn. SAGE Research Methods.|
|Kelleher, J. D., D'Arcy, A., and Mac Namee, B. (2015) Fundamentals of machine learning for predictive data analytics: Algorithms, worked examples, and case studies. ProQuest eBook Central.||Teetor, P. and Long, J. D. (2019) R Cookbook. 2nd edn. O'Reilly.|
|Kimball, R. and Ross, M. (2013) The data warehouse toolkit: The definitive guide to dimensional modeling. 3rd edn. O'Reilly.||Ware, C. (2012) Information visualization. 3rd edn. O'Reilly.|
|Kirk, A. (2019) Data visualisation: A handbook for data driven design. 2nd edn. SAGE Research Methods.||White, T. (2015) Hadoop: The definitive guide. 4th edn. O'Reilly.|
|Lantz, B. (2015) Machine learning with R. 2nd 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.|
|Laudon, K. C. and Laudon, J. P. (2018) Management information systems: Managing the digital firm. 15th edn. VLeBooks.||Zobel, J. (2014) Writing for computer science. 3rd edn. VLeBooks.|
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
Business Source Ultimate
|Lecture Notes in Computer Science
Subject Areas: Computing
|ProQuest Business Premium Collection
Subject Areas: Business, Entrepreneurship & Management
|SAGE Research Methods
Over 800 books, reference works, journal articles and videos from SAGE’s research methods list.
Abstract & citation database of peer-reviewed literature review
For off campus access go here
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:
|Central Statistics Office||https://www.cso.ie/en/index.html|
|Cloudera - The Hadoop Ecosystem||https://www.cloudera.com/developers/cloudera-labs.html|
|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/6-006-introduction-to-algorithms-spring-2020/|
Need advice for your assignments or research?
The Library Academic Support Centre is here to help!
We offer in-person and online appointments, remote assistance via email and a drop-in service.
For more details about how we can help you, see here.
|Keep up to date on any library news and resources by following @NCILibrary on|
|Communications from the Library: Please note all communications from the library, concerning renewal of books, overdue books and reservations will be sent to your NCI student email account.|