Module Specifications..
Current Academic Year 2023 - 2024
Please note that this information is subject to change.
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Coursework Only |
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Description Business Analytics 2 follows from Business Analytics 1 and uses a blended learning approach to develop students’ skills in the broad area of “Data Analytics”. In this module students will develop the core Data Analytics statistical skills and more advanced data visualization and MS EXCEL spreadsheet skills. They will also be introduced to Data Management and Databases | |||||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Explain the nature of sample error and calculate this error for a number of sample parameters 2. Choose the appropriate statistical techniques for testing a variety of statistical hypotheses 3. Build a basic Predictive Analytics model using Linear Regression and test assumptions and limitations of these models 4. Use TABLEAU to create data visualisations and a customised dashboard 5. Use advanced modelling skills in MS EXCEL 6. Be able to explain the role and applications of analytics in data driven organisations | |||||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
The role of Analytics in OrganisationsAnalytics function in an organisation, Building an effective Analytics Team, Applications of AnalyticsProbability- Basic Probability - Discrete Probability Distributions; Binomial Distribution, Poisson Distribution - Normal DistributionStatistical Estimation- Sampling - Sample Error - Confidence IntervalsHypothesis / Statistical TestsPurpose of a Statistical Test, Choosing the appropriate Test, Statistical Significance / P-ValueRegression and Forecasting / Predictive Analytics- Times Series Models - Linear Regression - Cause and EffectBuilding Models using MS EXCELBuilding a basic Pricing Model using Goalseek and SOLVER - Forward Looking Business Models - Building a Model using Decision Trees and Scenario Analysis Discrete Event Simulation ModelsData Management and DatabasesIntroduction to Databases - Open Source Relationship Database based on SQL. Tables, Relationships, Joins, Subqueries, Regular Expressions - Big Data and Big Data Management Tools | |||||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 43945, Online Training, Kubicle, 0, Learn data analysis skills for the future of work, http://www.kubicle.com, 43946, E Book:, Lex Holmes, Barbara Illowsky, Susan Dean, 2017, /introductory-business-statistics, Open Stax, https://open.umn.edu/opentextbooks/textb ooks/introductory-business-statistics-20 17, 43947, E Book:, Thomas K. Tiemann, 2010, Introductory Business Statistics,, BCcampus, https://open.umn.edu/opentextbooks/textb ooks/introductory-business-statistics, 43948, E Book, Cole Nussbaumer Knaflic, 2015, Storytelling with Data : A Data Visualization Guide for Business Professionals, ,, ,John Wiley & Sons, | |||||||||||||||||||||||||||||||||||||||||||||
Programme or List of Programmes
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