Excel for Business Analysts (Synchronous e-learning)
About This Course
Course Objective
Upon completion of the course, learners will be to design and conduct data studies to drive organisational decisions and insights
Learning Outcomes
• LO1: Learners will be able to gain business Insights with business analytics.
• LO2: Learners will be able to manage data science project and configure data models.
• LO3: Learners will be able to manage organization capacity and run data mining models with statistical techniques.
• LO4: Learners will be able to communicate findings from data science projects and make recommendations.
What You'll Learn
• Business analytics for organizations (K1, A1)
• Exploit business data using business analytics (K2, A2)
Topic 2: Managing Data Science Projects
• CRISP-DM models for managing data science projects (K4, K5, A3)
• Excel data models and mapping your data (K8, A4)
Topic 3: Mining Data with Statistical Methods
• Statistical inference techniques (K9, A5)
• Data mining (K6, K7, A6)
Topic 4: Presenting Data Science Projects Findings
• Communicate the results of data science projects (K3, A7)
• Recommendations and making decisions (K10, A8)
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old