Data Analytics for Organisational Growth for Retail Companies
About This Course
A candidate completed this module, will be able to perform:
Translate overall data analytics metrics and measurement strategy into web analytics strategies.
Define the business problems, questions or hypotheses that data analytics should seek to answer or prove.
Lead and train staff in using various forms of analytics tools available.
Allocate budgets and resources for investment in data analytics tools and technology usage in the organisation.
Review and evaluate the effectiveness of data analytics tools and technologies deployed.
What You'll Learn
Organisation's overall data analytics metrics and measurement strategy.
Organisation's product and services.
Types of business problems, questions or hypotheses.
Data analytics tools and technology.
Current and emerging data analytics tools and technology trends.
Types of business problems, questions or hypotheses that data analytics should seek to prove.
Different forms of analytics available such as consumer segmentation, predictive modelling, contextual targeting, churn analysis, revenue growth and cost optimisation.
Criteria for evaluating the effectiveness of data analytics tools and technology.
Entry Requirements
1. Singaporean and PR
Possess a minimum credit in English at GCE “O” Level or its equivalent.
2. International
IELTS score 5.5 or TOEFL iBT score 46.
High School Diploma equivalent to GCE 'O' Level with minimum grade C6 for 3 subjects, including English and Mathematics.
3. ALL Students are required to have basic digital literacy, knowledge of computers and Microsoft Office.