Foundation of Statistics for Data Analytics
About This Course
Upon completion, learner is able to apply statistics foundations into data analytics such as:
- predictive data modelling techniques
- data sets patterns
- data mining
- prototype algorithms and proof of concept demonstrations
- data visualization methods
What You'll Learn
Learning Unit 1: Introduction to Foundation of Statistics for Data Analytics
Learning Unit 2: Data Scoping, Exploration and Sense Making
Learning Unit 3: Data Insight Extraction and Explanation
Learning Unit 4: Data Models and Prototyping Algorithms
Learning Unit 5: Data Storytelling
Entry Requirements
Target Audience
• Business Analysts, Operations Analysts, Quality Assurance Analysts, Operations Managers, Sales Managers, Transportation and Logistics Managers, Customer Service Managers, Intelligence Managers, Analytics and Insights Managers
Age Requirements
• 25 years to 70 years old
Academic Requirements:
• Minimum Diploma holder
Literacy Requirements:
• At least a B4 pass for English (EL1) at GCE ‘O’ Levels or equivalent
• Workplace Literacy (Intermediate Level) Level 5
• Able to interpret findings from data collected
Industry/Working Experiences:
• Have a comprehensive understanding of the organisation’s vision, mission, values and business goals
• Minimum 2 years working experience
• Recommended to have at least intermediate computer operating knowledge