MATH06082 2022 Data Analytics

General Details

Full Title
Data Analytics
Transcript Title
Data Analytics
N/A %
Subject Area
MATH - Mathematics
MKTS - Marketing, Tourism & Sport
06 - NFQ Level 6
05 - 05 Credits
Start Term
2022 - Full Academic Year 2022-23
End Term
9999 - The End of Time
Aileen Brennan, Bryan Coyne, Cillian OMurchu
Programme Membership
SG_BINTE_H08 202200 Bachelor of Business (Honours) in International Marketing and Languages SG_BSALE_B07 202200 Bachelor of Business in Marketing and Sales

The module is intended to help students to gain proficiency with the necessary skills to interpret numerical and graphical information and describe data appropriately. It will introduce basic concepts and methods of Quantitative Methods and will enable students to solve problems and make decisions using various statistical tools.

Learning Outcomes

On completion of this module the learner will/should be able to;


Demonstrate an awareness of prominent survey designs and sampling strategies


Preform calculations for measures of correlation and regression.


Carry out time series analysis.


Effectively use hypothesis tests for decision making.


Utilise computer software in the solution of statistical problems.

Teaching and Learning Strategies

The student will engage with the content of the module through lectures, tutorials and computer labs.

The student will develop and apply their learning through practical examples and exercise sheets.

The student will generate practical computer solutions in the computer labs using various software packages.

Module Assessment Strategies

Continuous assessment will consist of several in-class assessments that will allow students to demonstrate their understanding of lecture material.

Written examination at the end of the semester.

Computer solution of statistical problems will be assessed in a practical lab assessment.

Repeat Assessments

Written examination

Indicative Syllabus

1. Sampling: Use random and non-random sampling methods, procedures to be followed in conducting a sample survey. Construct confidence intervals.

2. Time Series: Factors which affect a time series, forecasting future values.

3.Regression and Correlation: Draw scatter diagrams. Calculate linear regression coefficients, calculate measures of correlation and rank correlation, use the regression line for forecasting.

4. Hypothesis Testing: One-Sample Tests of Hypothesis.

5. Data Analysis using software packages.


Coursework & Assessment Breakdown

Coursework & Continuous Assessment
50 %
End of Semester / Year Formal Exam
50 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Continuous Assessment Assessment 50 % OnGoing 1,2,3,4,5

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Closed Book Exam 50 % End of Term 1,2,3,4

Full Time Mode Workload

Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Lecture 3 Weekly 3.00
Tutorial Not Specified Tutorial 1 Weekly 1.00
Practical Computer Laboratory Computer Lab 2 Weekly 2.00
Independent Learning Not Specified Independent Learning 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 6.00 Hours

Required & Recommended Book List

Recommended Reading
2018 Business Mathematics
ISBN 0134693329 ISBN-13 9780134693323

For courses in Business Mathematics. Focuses on current issues, real companies, and pragmatic business scenarios Business Mathematics by Clendenen and Salzman teaches students the mathematical skills they need for success in business, emphasizing mastery of business concepts and scenarios that require a mathematical solution. With a strong focus on current issues, real companies, and pragmatic business scenarios, the authors cover the full spectrum of basic business math, placing every concept in context with relevant examples. Along with an updated MyLab(tm) Math course, the 14th Edition has been significantly revised to modernize the text, improve discussions, and make the material more meaningful to students. This revision is packed with data, examples, graphs, photographs, and case studies that demonstrate the material's relevance as it teaches students to interpret data and information. A global perspective is emphasized through examples and exercises that highlight issues in other countries. Also available with MyLab Math By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. Note: You are purchasing a standalone product; MyLab Math does not come packaged with this content. Students, if interested in purchasing this title with MyLab Math, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Math, search for: 0135195969 / 9780135195963 Business Mathematics Plus MyLab Math with Pearson eText - Access Card Package Package consists of: 0134693329 / 9780134693323 Business Mathematics, 14e 0134836235 / 9780134836232 MyLab Math with Pearson eText - Access Card - for Business Mathematics, 14/e

Recommended Reading
2019-04-15 Microsoft Excel 2019 Data Analysis and Business Modeling Microsoft Press
ISBN 1509305882 ISBN-13 9781509305889

Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables-and how to effectively build a relational data source inside an Excel workbook.

Recommended Reading
2008-01-01 Quantitative Methods for Business Decisions Thomson
ISBN 1844805743 ISBN-13 9781844805747

Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.

Recommended Reading
2010-01-11 Basic Statistics for Business and Economics with Formula Card (The Mcgraw-Hill/Irwin Series Operations and Decision Sciences) McGraw-Hill/Irwin
ISBN 0077384474 ISBN-13 9780077384470

Lind/Marchal/Wathen: BASIC STATISTICS FOR BUSINESS AND ECONOMICS, Seventh edition is a derivative of the best-selling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, offering the essential topics of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the seventh edition continues as a students text with increased emphasis on interpretation of data and results.

Recommended Reading
2008 Basic Business Statistics 12th Edition
ISBN 0132168383 ISBN-13 9780132168380

Module Resources

Non ISBN Literary Resources

Basic Statistics for Business and Economics. Lind, Marchal, Wathen. 5th Ed. 2006 McGraw Hill

Curwin, Jon., Slater, Roger 2008, Quantitative Methods for Business Decisions, 6th ed., Cengage Learning

Gary Clendenen, 2014 Business Mathematics (13th Edition) Pearson

Mark L Berneson,Basic Business Statistics: Concepts and Applications, 12th Edition


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