Learning Outcomes
1) Explain the significance of a range of data and information types to business organisations Knowledge and Understanding
Learning
2) Collect and analyse data in order to understand specific problems within identified organisational situations
Analysis
Enquiry
Problem Solving
Indicative Content
Data and information
• sources of data
• problem-solving and decision-making
• decision-modelling
• quantitative techniques
Techniques for data collection
• sampling
• statistical analysis
• trends and forecasts
• observation
• questionnaires
• interviews
• secondary data collection
• data analysis and evaluation
Patterns in Data
• changes and relationships in data
• forecasting
• correlation analysis
• regression analysis
Assessment Details
Written assignment 3000 words in which students use a range of data that they have collected and analysed, using this as the basis to discuss patterns
Learning Strategies
1x 3 hours Lecture/Tutorial
Texts
EMC Education Services (2015) Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, John Wiley & Sons