Reference no: EM132691973 , Length: 10 ppt

MITS6002 Business Analytics - Victorian Institute of Technology

Assessment: Case Studies & Presentation

Introduction

This assessment item relates to the unit learning outcomes as in the unit descriptor. Objective of this case study to assess the ability of students to understand large data sets and apply their knowledge in analytics to come up with useful insights. This assessment is designed to improve student presentation skills and to give students experience in researching a topic and presenting a report relevant to the Unit of Study subject matter.

Task
1. Find a data set from an open data website Example:

The data source should be large enough (at least 10 columns and 250 rows).

2. Present your insights including some basic analytics and at least five different visualisations.

3. This is now an individual assignment, not a group assignment.

4. You need to record your presentation, 3-6 minutes. You and your slides should be clear in the video file.

5. Submit your video file of your presentation in the provided link by the due date. Only original file will be accepted; a link to your video file will not be marked.

Assessment 2: Research Study

Introduction

This assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student research skills and to give students experience in researching a topic and writing a report relevant to the Unit of Study subject matter.
Task
Perform a literature review on a known topic in business analytics. It can be any topic on tools, methodologies or applications. Some examples include, but not limited to:
• Use of predictive analysis in healthcare industry
• Comparison of BI tools
• Techniques of predictive analysis
• Methods of representing multi-dimensional data in visualisations
• Analytics techniques to improve logistics management
• Security of data and privacy concerns in analytics
Please note that this is an individual project. Discuss with your lecturer before week 7 to decide on a topic. The topic needs to be chosen before week 7.
Based on your review you need to submit a report in IEEE format; see the word file in the Moodle. Submit your report in a word or pdf format. Your report should be limited to 1200-1500 words.

The paper you select must be directly relevant to one of the above topics or another topic and

be related to Data Science. The paper must be approved by your lecturer and be related to what we are studying this semester in Business Analytics. The paper can be from any academic conference or other relevant Journal or online sources such as Google Scholar, or Academic department repositories. All students must select a different paper. Thus, the paper must be approved by your lecturer before proceeding. Discuss with your lecturer before week 7 to decide on a topic. The topic needs to be chosen before week 7. In case two students are wanting to present on the same paper, the first who emails the lecturer with their choice will be allocated that paper. Please note that popular magazine or web-site articles are not academic papers. The paper you chose should be published in the last 5 years. our report should be limited to approx. 1500 words (not including references). Though your paper will largely be based on the chosen article, you may use other sources to support your discussion or the chosen papers premises. Citation of sources must be in the IEEE style. Based on your review you need to submit a report in IEEE format; see the word file in the Moodle.

Note: need only Assessment 1.

Attachment:- Business Analytics.rar