# MATH06103 2021 Data Analytics

### General Details

Full Title
Data Analytics
Transcript Title
Data Analytics
Code
MATH06103
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
Level
06 - NFQ Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2021 - Full Academic Year 2021-22
End Term
9999 - The End of Time
Author(s)
Aine Doherty, Cillian OMurchu
Programme Membership
SG_MBUSI_H08 202100 Bachelor of Arts (Honours) in Business and ICT SG_GLAWB_H08 202100 Bachelor of Arts (Honours) in Law and Business SG_BINTE_B07 202000 Bachelor of Business in International Tourism with Event Management SG_BMKTG_B07 202000 Bachelor of Business in Marketing SG_BMARK_H08 202000 Bachelor of Business (Honours) in Marketing
Description

The module is intended to help students to understand and master 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;

1.

Summarise and analyse statistical data.

2.

Organise data in tabular or graphical form.

3.

Carry out time series analysis.

4.

Perform calculations for measures of correlation and regression.

5.

Carry out a sample survey and be aware of a number of different sampling strategies.

6.

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

A series of examinations throughout the semester.

Quizzes will be used to allow the learner to obtain feedback on a regular basis.

Written exam

### Indicative Syllabus

1. Data presentation and summarisation:

• Use various methods of representing data in graphical and tabular form
• Calculate the mean, median and mode
• Calculate the range, interquartile range, standard deviation,coefficient of variation and coefficient of skewness

2. Sampling Theory:

• Distinguish between and describe random and non-random sampling methods
• Outline the procedure to follow in conducting a sample survey

3.Time Series:

• Factors which affect a Time Series
• Moving average trend, seasonal & cyclical variation and residuals based on the additive model
• Deseasonalised data
• Forecasting future values

4.Regression and Correlation:

• Draw scatter graphs
• Calculate linear regression co-efficients
• Calculate measures of correlation and rank correlation
• Use the regression line for forecasting

5. Data Analysis: Data Analysis using software packages.

### Coursework & Assessment Breakdown

Coursework & Continuous Assessment
100 %

### Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Continuous Assessment Assessment 100 % OnGoing 1,2,3,4,5,6

Type Location Description Hours Frequency Avg Workload
Lecture Flat Classroom Lecture 3 Weekly 3.00
Independent Learning Not Specified Independent Learning 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 3.00 Hours

### Required & Recommended Book List

2007 Quantitative Methods for Business Decisions Cengage Learning EMEA
ISBN 1844805743 ISBN-13 9781844805747

Using a rigorous exercise-based approach, this title provides in-depth guidance on how to apply to most widely-used statistical methods in business. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance and public administration.

2013-01-21 Quantitative Methods for Business Decisions Cengage Learning Emea
ISBN 1408064987 ISBN-13 9781408064986

Provides students with all the tools they need to pass the typical Quantitative Methods course. This title includes chapters that focus on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, that may appeal to students across the business spectrum.

2018-01-02 Basic Statistics for Business and Economics
ISBN 1260287858 ISBN-13 9781260287851

The 9th edition of Lind/Marchal/Wathen: Basic Statistics for Business and Economics, is a step-by-step approach that enhances student performance, accelerates preparedness and improves motivation for the student taking a business statistics course. The main objective of the text is to provide students majoring in all fields of business administration with an introductory survey of the many applications of descriptive and inferential statistics. The relevant approach taken in this text relates to the college students today as they will receive the information that is important to them in this class as well as their future careers. Understanding the concepts, seeing and doing plenty of examples and exercises, and comprehending the application of statistical methods in business and economics are the focus of this book. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

2011-01 Basic Statistics for Business & Economics
ISBN 0073401781 ISBN-13 9780073401782

Lind/Marchal/Wathen Basic Statistics for Business and Economics, 7e is the basic version of Statistical Techniques in Business & Economics 14e, our market best seller. Like the 14th edition, the 7th edition contains comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format but in a shorter, essential version of the big book. The text is non-threatening and presents concepts clearly in a conversational writing style. Statistical concepts are illustrated with solved applied examples. The text maintains a focus on presenting statistics content first and using software as tools to support interpretation of data and results.

2006 Using Statistics Gill
ISBN 0717140229 ISBN-13 9780717140220

A highly accessible, easy-to-read approach to statistics

2012-07-02 Predictive Analytics Pearson Education
ISBN 9780789749413 ISBN-13 0789749416

Explains how to use Excel predictive analytics to solve problems in areas ranging from sales and marketing to operations. Reveals how to build credible and reliable forecasts. Describes advanced techniques to build revenue, reduce costs and improve productivity. Includes downloadable Excel workbooks to adapt to your own requirements.