Data Analytics
About This Course
At the end of the course, learners are able to:
LO1: Conduct measurement of Data Analytics and Identify web analytics strategy
LO2: Conduct needs analysis of customer using Deep Dive Analysis
LO3: Conduct key analytics activities
LO4: Evaluate the effectiveness of data-driven analytics tools and technologies used
LO5: Conduct budgeted investment in data analytics tools, technology and resources
LO6: Write report for Data driven decision making process from analytics findings, trends and consumer insights
What You'll Learn
LU2: Understand customers’ requirements using Deep Dive Analysis
LU3: Understand key analytics activities
LU4: Understand the effectiveness of data-driven analytics tools and technologies used
LU5: Understand budgeted investment in data analytics tools, technology and resources
Entry Requirements
• Applicants who have attained Level 3 and above for the Workplace Literacy and Numeracy (WPLN) assessment in these 5 components (Reading, Listening, Speaking, Writing and Numeracy).
• 1 year of working experience • At least 21 years of age
• No specific IT program application knowledge is required.
• Mature candidates with work experience (>30 years old with 8 years of work experience) and without formal academic qualifications will be considered on a case‐by‐case basis).
Learners are expected to:
• possess basic personal computer skills • operate a personal computer independently