Full Title Big Data and Statistics

Short Title Big Data and Statistics

Code MATH08010
Level 08
Credit 05

Author OMurchu, Cillian
Department Business

Subject Area Mathematics
Attendence N/A%
Fee

Description
This module will provide students with the skills to solve real business problems using generally accepted practices in the field of staistics and business analytics.

Indicative Syllabus
Data Exploration.

Regression and Correlation.

Hypothesis Testing.

Non-Parametric Testing.

Data Analysis using software packages.

Learning Outcomes
On completion of this module the learner will/should be able to
  1. Explore data sets and select appropiate statistical methods for business analysis problems.

  2. Perform calculations for measures of correlation and regression.

  3. Effectively use hypothesis tests for decision making.

  4. Utilise computer software in the solution of statistical problems.


Assessment Strategies
Written examination at the end of the semester.

Written examination & project during the semester.

Module Dependencies
Pre Requisite Modules
None
Co Requisite Modules
None
Incompatible Modules
None

Coursework Assessment Breakdown %
Course Work / Continuous Assessment 40 %
End of Semester / Year Formal Examination 60 %

Coursework Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Assessment 1,2,3,4 40 OnGoing


End Exam Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Exam 1,2,3,4 60 End of Semester


Distance Learning Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Part Time Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Full Time Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Laboratory Practical Computer Laboratory Lab 1 Weekly 1.00
Tutorial Computer Laboratory Tutorial 1 Weekly 1.00

Total Average Weekly Learner Workload 4.00 Hours

Online Learning Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Resources
Book Resources
Jon Curwin, 2008 Quantitative Methods for Business Decisions Thomson

Prem S. Mann, 2010 Introductory Statistics TBS

James Reilly, 2006 Using Statistics Gill & Macmillan Ltd

S. Christian Albright, 2014 Business Analytics: Data Analysis & Decision Making South-Western College Pub

Marilyn K. Pelosi, 2001 Doing Statistics for Business with Excel: Data, Inference, and Decision Making Wiley




Other Resources
Url Resources
https://www.minitab.com

Additional Info

ISBN BookList

Book Cover Book Details
Marilyn K. Pelosi 2001 Doing Statistics for Business with Excel: Data, Inference, and Decision Making Wiley
ISBN-10 0471408298 ISBN-13 9780471408291
Jon Curwin 2008 Quantitative Methods for Business Decisions Thomson
ISBN-10 1844805743 ISBN-13 9781844805747
Prem S. Mann 2010 Introductory Statistics TBS
ISBN-10 0470505834 ISBN-13 9780470505830
James Reilly 2006 Using Statistics Gill & Macmillan Ltd
ISBN-10 0717140229 ISBN-13 9780717140220
S. Christian Albright 2014 Business Analytics: Data Analysis & Decision Making South-Western College Pub
ISBN-10 1133629601 ISBN-13 9781133629603