MATH08010 2022 Big Data and Statistics

Big Data and Statistics

Big Data and Statistics

MATH08010

N/A %

MATH - 0541 Mathematics

BUS - Business

08 - Level 8

05 - 05 Credits

Semester

€

2022 - Full Academic Year 2022-23

9999 - The End of Time

Aiden Bell, Kerry Dolan, Cillian OMurchu

SG_BBUSI_H08 202200 Bachelor of Business (Honours) in Business SG_BGENE_K08 202200 Bachelor of Business (Honours) in General Business SG_BFINV_K08 202200 Bachelor of Business (Honours) in Business with Finance and Investment SG_BFINA_H08 202200 Bachelor of Business (Honours) in Finance and Investment SG_BBUSB_H08 202200 Bachelor of Business (Honours) in Business SG_BFINA_K08 202400 Bachelor of Business (Honours) in Business in Finance Stream

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

40 %

60 %

Required Reading
2019-04-08 Business Analytics Mindtap Course List
ISBN 0357109953 ISBN-13 9780357109953

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience. This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite. MindTap online resources are also available.

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
2014-01-01 Business Analytics: Data Analysis & Decision Making South-Western College Pub
ISBN 1133629601 ISBN-13 9781133629603

Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos.

Required 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
2001-06-22 Doing Statistics for Business with Excel: Data, Inference, and Decision Making Wiley
ISBN 0471408298 ISBN-13 9780471408291

This book teaches students how to do statistics and how to use statistics as a tool for making intelligent, informed decisions. Doing Statistics For Business, Second Edition is data driven, emphasizing statistical reasoning, interpretation, and decision-making with an emphasis is on comparison and interpretation rather than rote calculation. The cases are based on real business situations and data that are relevant to student life.

Required Reading
2020-06-09 Practical Statistics for Data Scientists O'Reilly Media
ISBN 149207294X ISBN-13 9781492072942

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now including examples in Python as well as R--explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning

Recommended Reading
2010 Introductory Statistics TBS
ISBN 0470505834 ISBN-13 9780470505830

When it comes to learning statistics, Mann delivers the information that business professionals need. The new edition incorporates the most up-to-date methods and applications to present the latest information in the field. It focuses on explaining how to apply the concepts through case studies and numerous examples. Data integrated throughout the chapters come from a wide range of disciplines and media sources. Over 200 examples are included along with marginal notes and step-by-step solutions. The Decide for Yourself feature also helps business professionals explore real-world problems and solutions.

Recommended Reading
2006-03-24 Using Statistics Gill & Macmillan Ltd
ISBN 0717140229 ISBN-13 9780717140220

This book uses practical worked examples and problems with answers, in an Irish context. It provides an insight into your processes, allowing you to understand them and ultimately improve them. It can be used alone or in conjunction with any statistical package of choice. Web support is provided for lecturers with PowerPoint slides, web links, and data sets for each chapter, which support all statistical software. This book is suitable for undergraduate students of business, science and engineering, post-graduate students, researchers and professionals. Comments from students: "Very well presented. The author made it seem very simple. The examples use real life, are easy to understand and interesting". "The author understands the worries students have, and knows our limits". "Examples are relevant and easy to relate to".

Jon Curwin, 2008 Quantitative Methods for Business Decisions Thomson

Winston, W., (2019). Microsoft Excel 2019 Data Analysis and Business Modeling. Microsoft Press.

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

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

Albright, S., Winston, L., (2019). Business Analytics. Mindtap Course List.