MNGT5232 Data Analysis and Statistical Modelling for Business - 2020

Full-time, Kensington
MNGT5232
Postgraduate
Term 2
6 Units of Credit
AGSM

Offering Selection
This course outline is for the current semester. To view outlines from other years and/or semesters, visit the archives

1. Course Details

Summary of Course

In recent years, organisations have aligned technology and business in order to adapt to a challenging and hyper-competitive market environment. In a situation where organisations in many industries offer similar products and use equivalent technologies, business processes are established as one of the last points of differentiation. In a similar way, data and algorithms have become the new stronghold upon which to leverage differentiation processes, products, services and decision-making. As a result, increasingly more companies use different analytical strategies to improve decision-making, optimise processes and create data-driven products.

However, as in many other areas, technology is not sufficient to generate competitive advantage status. For example, decision-making requires actual art (based on experience and intuition) and science (based on analysis) to survive the increasing complexity of the market. Understanding how to use data, models, visuals and dashboards to create competitive advantages can be the key to the success or failure of a company in the coming years.

This course aims to introduce professionals to Data Analytics and how to develop efficient strategies within organisations. The efficiency is achieved through the combination of multiple technologies (from Business Intelligence to Big Data) and the use of algorithms to generate insights and predict the future behaviour of an organisation.

This course introduces managers to several techniques that are relevant for managerial decision-making, such as data preparation, data analysis, data visualisation and data storytelling.

This course will help students to develop expertise in a standard set of data literature techniques, which will be useful in analysing business-related data. These techniques are widely applied in a number of areas of management, including operations, marketing, finance, and human resources.

Teaching Times and Locations

Please note that teaching times and locations are subject to change. Students are strongly advised to refer to the Class Timetable website for the most up-to-date teaching times and locations.

View course timetable

Course Policies & Support

Course Aims and Relationship to Other Courses

The course aims to encourage analytical thinking. It will encourage you to develop your abilities to understand and use data. It is designed to equip managers with the data literacy skills to make effective use of data in the business workplace, to develop expertise in a standard set of techniques that will be useful in analysing data, and to learn to apply these techniques in a number of areas of management. It is intended that you will leave the course with a basic ability to use Tableau Prep Builder (to prepare data) and Tableau Desktop (to analyse and visualise data)

There are no pre-requisites for studying this course. Participants are assumed to have no prior knowledge of data literacy.

Additonal Course Details

3. Staff Contact Details

Position Name Email Location Phone Consultation Times
Adjunct FacultyJeroen BoersmaSydney+61 418 108 673

4. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

Learning Activities and Teaching Strategies

Course Structure

This course will be conducted over 10 weeks. Each week there will be one (1) three-hour class session.

The class sessions will focus on explaining the course notes and going through examples, simulations or cases. The aim of the class is to help you understand the context of the topic as well as to work through the difficult points.

You are expected to prepare for each session by reading the relevant content.

Unit 1, Introduction to Data Analytics and Statistical Modelling
In this session, we will learn why a basic understanding of Data Analytics and Statistical Modeling is essential for any business leader. We will learn about the concepts of data analytics - the relationship between the different concepts, why each is needed, the benefits and challenges for companies and how to measure the success. To connect theory with practice we will discuss the data used for covid-19 decisions around the world and discuss a case study from Harvard: "Business Intelligence Software at SYSCO".

Unit 2, Data literacy & Statistical Modeling
In this session we will work through the fundamentals of data literacy and statistical modeling. By familiarizing ourselves with the basic lexicon we prepare ourselves to question and validate presented data, understand any limitations involved and become aware of how to turn data into insights and help during decision making processes. We will review together how leaders use data to inform their decisions, identify flaws and recommend better alternatives.

Unit 3, Statistical Modelling Continued
In Session 3 we broaden our knowledge of data literacy by familiarizing ourselves with a few more concepts like confidence intervals, normal distributions and statistical power. We will discuss data platforms that supports any data initiative and how they can help us make decisions. We will perform a data simulation and practice decision making based on a data platform. 

Unit 4, Data Governance and Opportunity Identification
In this session, we will review the concept of data governance and why it is important. We will discuss the concept of data as an asset, the principles included in data governance and how to implement a data governance program. We will also discuss ethical implications on the use of data within our business. Finally, this session introduces how to identify and analyse opportunities linked to Data Analytics in an organisation and best practices for implementing Big Data projects using a strategy framework 

Unit 5, Communication and Decision Making
Now that we have learned about Data Governance, Statistical Modelling and using data to derive insights, we will bring it together and dive into our ability to communicate and informs decision making processes within our business. There will also be time to revisit any of the concepts that were discussed in the first 5 units of this course. 

Unit 6, Online Test and Data Preparation (I)
This session will introduce what is Data Preparation, its principles and benefits, and how it fits into Tableau Prep Builder.

Unit 7, Data Preparation (II)

Unit 8, Data Analysis (I)
This session will introduce what is Visual Analytics, its principles and benefits, and how it fits into Tableau Desktop.

Unit 9, Data Analysis (II)
This session will introduce what is Dashboarding, its principles and benefits, and how it fits into Tableau Desktop.

Unit 10, Learning from the Experts
In this session, a guest will share their experiences about using analytics in the context of an organisation.

6. Course Resources

You have four major resources to help you learn:

  1. The course materials, which you will access via your Moodle class. 
  2. Your interaction with your facilitator. The facilitator's job is to guide your learning by conducting the class discussion, answering questions that might arise after you have done the week's work, providing insights from their practical experience and understanding of theory, providing you with feedback on your assessments, and directing discussions and debates that will occur between you and your co-participants in the course.
  3. Your co-participants. Your class colleagues are an invaluable potential source of learning for you. Their work and life, and their willingness to question and argue with the course materials, the facilitator and your views, represent a great learning opportunity. They bring much valuable insight to the learning experience.
  4. In addition to course-based resources, please also refer to the AGSM Learning Toolkit (available in Moodle) for tutorials and guides that will help you learn more about effective study practices and techniques.

There is no prescribed textbook.

All materials will be provided in Moodle.

Throughout this course, we will use Tableau Prep Builder and Tableau Desktop in order to complete Assessments 1 and 2. We will practise with these tools during the sessions and a manual and examples will be provided.

Instructions for obtaining Tableau tools will be posted in your Moodle class site at the beginning of the course.

If you have any problems with Tableau, your facilitator will provide support and optionally, we will contact Tableau.

Additional material support: The facilitator may provide additional resources for you during the course. In that case, they will be placed in Moodle and an announcement made about them.

7. Course Evaluation & Development

Continual Course Improvement

AGSM courses are revised each time they run, with updated course outlines and assessment tasks developed. Changes relating to any industry developments will also be included.

Additionally, the AGSM surveys students each time a course is offered. The data collected provides anonymous feedback from students on the quality of course content and materials, class facilitation, student support services and the program in general. This student feedback is considered during all course revisions.

Student Response

Students in the feedback on Term 2, 2019 indicated a number of components within this new course that could be improved.

Response to Student Feedback

The course has undergone major revisions for Term 2, 2020. Course structure, assessments, content, and activities have all been reviewed and largely revised to improve the student experience.

8. Course Schedule

Week Activity Topic Detail/Engagement Assessment Task
Week 1 Practise in classIntroduction to Data Analytics and Statistical Modelling
  • Business Intelligence Software at SYSCO 
  • 'Data Facts' participation example provided and weeks allocated. Data Facts activity begins week 2.
Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 2 Practise in classData literacy & Statistical Modeling

'Data Facts' participation begins

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 3 Practise in classStatistical Modelling continued

Data Analytics Simulation: Strategic Decision Making

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 4 Practise in classData Governance and Opportunity identification
Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Assessment 2 : Strategic Decision Making Simulation - Written Reflection
Week 5 Practise in classCommunication and Decision Making
Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 6 Practise in classData Preparation (I)

Online Test - 1pm to Midnight on Friday. See assessment document for details.

Data Preparation with Tableau Prep Builder

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Assessment 3 : Online Test
Week 7 Practise in classData Preparation (II)

Data Preparation with Tableau Prep Builder

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 8 Practise in classData Analysis (I)

Visual Analytics with Tableau (I)

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 9 Practise in classData Analysis (II)

Visual Analytics with Tableau (I)

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 10 -Learning from the Experts

A guest will be invited to explain their experience in Data Analytics

Assessment 1 : Engagement and Class Participation
Assessment 1 : Data Facts Participation
Week 11 Study week
Week 12 Final Assessment Due
Assessment 4 : Data Preparation and Analysis

9. Policies and Support

Information about UNSW Business School protocols, University policies, student responsibilities and education quality and support.

Program Learning Outcomes

The Business School places knowledge and capabilities at the core of its curriculum via seven Program Learning Outcomes (PLOs). These PLOs are systematically embedded and developed across the duration of all coursework programs in the Business School.

PLOs embody the knowledge, skills and capabilities that are taught, practised and assessed within each Business School program. They articulate what you should know and be able to do upon successful completion of your degree.

Upon graduation, you should have a high level of specialised business knowledge and capacity for responsible business thinking, underpinned by ethical professional practice. You should be able to harness, manage and communicate business information effectively and work collaboratively with others. You should be an experienced problem-solver and critical thinker, with a global perspective, cultural competence and the potential for innovative leadership.

All UNSW programs and courses are designed to assess the attainment of program and/or course level learning outcomes, as required by the UNSW Assessment Design Procedure. It is important that you become familiar with the Business School PLOs, as they constitute the framework which informs and shapes the components and assessments of the courses within your program of study.

PLO 1: Business knowledge

Students will make informed and effective selection and application of knowledge in a discipline or profession, in the contexts of local and global business.

PLO 2: Problem solving

Students will define and address business problems, and propose effective evidence-based solutions, through the application of rigorous analysis and critical thinking.

PLO 3: Business communication

Students will harness, manage and communicate business information effectively using multiple forms of communication across different channels.

PLO 4: Teamwork

Students will interact and collaborate effectively with others to achieve a common business purpose or fulfil a common business project, and reflect critically on the process and the outcomes.

PLO 5: Responsible business practice

Students will develop and be committed to responsible business thinking and approaches, which are underpinned by ethical professional practice and sustainability considerations.

PLO 6: Global and cultural competence

Students will be aware of business systems in the wider world and actively committed to recognise and respect the cultural norms, beliefs and values of others, and will apply this knowledge to interact, communicate and work effectively in diverse environments.

PLO 7: Leadership development

Students will develop the capacity to take initiative, encourage forward thinking and bring about innovation, while effectively influencing others to achieve desired results.

These PLOs relate to undergraduate and postgraduate coursework programs.  Separate PLOs for honours and postgraduate research programs are included under 'Related Documents'.

Business School course outlines provide detailed information for students on how the course learning outcomes, learning activities, and assessment/s contribute to the development of Program Learning Outcomes.

RELATED DOCUMENTS

 

UNSW Graduate Capabilities

The Business School PLOs also incorporate UNSW graduate capabilities, a set of generic abilities and skills that all students are expected to achieve by graduation. These capabilities articulate the University’s institutional values, as well as future employer expectations.

UNSW Graduate CapabilitiesBusiness School PLOs
Scholars capable of independent and collaborative enquiry, rigorous in their analysis, critique and reflection, and able to innovate by applying their knowledge and skills to the solution of novel as well as routine problems.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 7: Leadership development

Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 6: Global and cultural competence
  • PLO 7: Leadership development

Professionals capable of ethical, self-directed practice and independent lifelong learning
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 5: Responsible business practice

Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 5: Responsible business practice
  • PLO 6: Global and cultural competence

While our programs are designed to provide coverage of all PLOs and graduate capabilities, they also provide you with a great deal of choice and flexibility.  The Business School strongly advises you to choose a range of courses that assist your development against the seven PLOs and four graduate capabilities, and to keep a record of your achievements as part of your portfolio. You can use a portfolio as evidence in employment applications as well as a reference for work or further study. For support with selecting your courses contact the UNSW Business School Student Centre.




Academic Integrity and Plagiarism

Academic Integrity is honest and responsible scholarship. This form of ethical scholarship is highly valued at UNSW. Terms like Academic Integrity, misconduct, referencing, conventions, plagiarism, academic practices, citations and evidence based learning are all considered basic concepts that successful university students understand. Learning how to communicate original ideas, refer sources, work independently, and report results accurately and honestly are skills that you will be able to carry beyond your studies.

The definition of academic misconduct is broad. It covers practices such as cheating, copying and using another person’s work without appropriate acknowledgement. Incidents of academic misconduct may have serious consequences for students.

Plagiarism

UNSW regards plagiarism as a form of academic misconduct. UNSW has very strict rules regarding plagiarism. Plagiarism at UNSW is using the words or ideas of others and passing them off as your own. All Schools in the Business School have a Student Ethics Officer who will investigate incidents of plagiarism and may result in a student’s name being placed on the Plagiarism and Student Misconduct Registers.

Below are examples of plagiarism including self-plagiarism:

Copying: Using the same or very similar words to the original text or idea without acknowledging the source or using quotation marks. This includes copying materials, ideas or concepts from a book, article, report or other written document, presentation, composition, artwork, design, drawing, circuitry, computer program or software, website, internet, other electronic resource, or another person's assignment, without appropriate acknowledgement of authorship.

Inappropriate Paraphrasing: Changing a few words and phrases while mostly retaining the original structure and/or progression of ideas of the original, and information without acknowledgement. This also applies in presentations where someone paraphrases another’s ideas or words without credit and to piecing together quotes and paraphrases into a new whole, without appropriate referencing.

Collusion: Presenting work as independent work when it has been produced in whole or part in collusion with other people. Collusion includes:

  • Students providing their work to another student before the due date, or for the purpose of them plagiarising at any time
  • Paying another person to perform an academic task and passing it off as your own
  • Stealing or acquiring another person’s academic work and copying it
  • Offering to complete another person’s work or seeking payment for completing academic work

Collusion should not be confused with academic collaboration (i.e., shared contribution towards a group task).

Inappropriate Citation: Citing sources which have not been read, without acknowledging the 'secondary' source from which knowledge of them has been obtained.

Self-Plagiarism: ‘Self-plagiarism’ occurs where an author republishes their own previously written work and presents it as new findings without referencing the earlier work, either in its entirety or partially. Self-plagiarism is also referred to as 'recycling', 'duplication', or 'multiple submissions of research findings' without disclosure. In the student context, self-plagiarism includes re-using parts of, or all of, a body of work that has already been submitted for assessment without proper citation.

To see if you understand plagiarism, do this short quiz: https://student.unsw.edu.au/plagiarism-quiz

Cheating

The University also regards cheating as a form of academic misconduct. Cheating is knowingly submitting the work of others as their own and includes contract cheating (work produced by an external agent or third party that is submitted under the pretences of being a student’s original piece of work). Cheating is not acceptable at UNSW.

If you need to revise or clarify any terms associated with academic integrity you should explore the 'Working with Academic Integrity' self-paced lessons available at: https://student.unsw.edu.au/aim.

For UNSW policies, penalties, and information to help you avoid plagiarism see: https://student.unsw.edu.au/plagiarism as well as the guidelines in the online ELISE tutorials for all new UNSW students: http://subjectguides.library.unsw.edu.au/elise. For information on student conduct see: https://student.unsw.edu.au/conduct.

For information on how to acknowledge your sources and reference correctly, see: https://student.unsw.edu.au/referencing. If you are unsure what referencing style to use in this course, you should ask the lecturer in charge.


Student Responsibilities and Conduct

​Students are expected to be familiar with and adhere to university policies in relation to class attendance and general conduct and behaviour, including maintaining a safe, respectful environment; and to understand their obligations in relation to workload, assessment and keeping informed.

Information and policies on these topics can be found on the 'Managing your Program' website.

Workload

It is expected that you will spend at least ten to twelve hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of twenty to twenty four hours. This time should be made up of reading, research, working on exercises and problems, online activities and attending classes. In periods where you need to complete assignments or prepare for examinations, the workload may be greater. Over-commitment has been a cause of failure for many students. You should take the required workload into account when planning how to balance study with employment and other activities.

We strongly encourage you to connect with your Moodle course websites in the first week of semester. Local and international research indicates that students who engage early and often with their course website are more likely to pass their course.

View more information on expected workload

Attendance

Your regular and punctual attendance at lectures and seminars or in online learning activities is expected in this course. The Business School reserves the right to refuse final assessment to those students who attend less than 80% of scheduled classes where attendance and participation is required as part of the learning process (e.g., tutorials, flipped classroom sessions, seminars, labs, etc.).

View more information on attendance

General Conduct and Behaviour

You are expected to conduct yourself with consideration and respect for the needs of your fellow students and teaching staff. Conduct which unduly disrupts or interferes with a class, such as ringing or talking on mobile phones, is not acceptable and students may be asked to leave the class.

View more information on student conduct

Health and Safety

UNSW Policy requires each person to work safely and responsibly, in order to avoid personal injury and to protect the safety of others.

View more information on Health and Safety

Keeping Informed

You should take note of all announcements made in lectures, tutorials or on the course web site. From time to time, the University will send important announcements to your university e-mail address without providing you with a paper copy. You will be deemed to have received this information. It is also your responsibility to keep the University informed of all changes to your contact details.



Student Support and Resources

​The University and the Business School provide a wide range of support services and resources for students, including:

Business School EQS Consultation Program
The Consultation Program offers academic writing, literacy and numeracy consultations, study skills, exam preparation for Business students. Services include workshops, online resources, individual and group consultations. 
Level 1, Room 1035, Quadrangle Building.
BUS.EQS.Consultations@unsw.edu.au
02 9385 4508

Communication Resources
The Business School Communication and Academic Support programs provide online modules, communication workshops and additional online resources to assist you in developing your academic writing.

Business School Student Centre
The Business School Student Centre provides advice and direction on all aspects of admission, enrolment and graduation.
Level 1, Room 1028 in the Quadrangle Building
02 9385 3189

UNSW Learning & Careers Hub
The UNSW Learning & Careers Hub provides academic skills and careers support services—including workshops, individual consultations and a range of online resources—for all UNSW students. See their website for details.
Lower Ground Floor, North Wing Chancellery Building.
learningcentre@unsw.edu.au
02 9385 2060

Student Support Advisors
Student Support Advisors work with all students to promote the development of skills needed to succeed at university, whilst also providing personal support throughout the process.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

International Student Support
The International Student Experience Unit (ISEU) is the first point of contact for international students. ISEU staff are always here to help with personalised advice and information about all aspects of university life and life in Australia.
Advisors can support you with your student visa, health and wellbeing, making friends, accommodation and academic performance.
International.student@unsw.edu.au
02 9385 4734

Equitable Learning Services
Equitable Learning Services (formerly Disability Support Services) is a free and confidential service that provides practical support to ensure that your health condition doesn't adversely affect your studies. Register with the service to receive educational adjustments.
Ground Floor, John Goodsell Building.
els@unsw.edu.au
02 9385 4734

UNSW Counselling and Psychological Services
Provides support and services if you need help with your personal life, getting your academic life back on track or just want to know how to stay safe, including free, confidential counselling.
Level 2, East Wing, Quadrangle Building.
counselling@unsw.edu.au
02 9385 5418

Library services and facilities for students
The UNSW Library offers a range of collections, services and facilities both on-campus and online.
Main Library, F21.
02 9385 2650

Moodle eLearning Support
Moodle is the University’s learning management system. You should ensure that you log into Moodle regularly.
externalteltsupport@unsw.edu.au
02 9385 3331

UNSW IT
UNSW IT provides support and services for students such as password access, email services, wireless services and technical support.
UNSW Library Annexe (Ground floor).
02 9385 1333



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MNGT5232