Business Intelligence Using Power BI
About This Course
This intermediate-level Business Intelligence (BI) and Data Analytics course is designed to equip retail professionals with the essential knowledge and hands-on skills to thrive in today’s data-driven and AI-enhanced business environment. As retail companies face challenges in the digital era—such as shifting consumer behaviors, omnichannel complexity, and increasing reliance on automation—this course empowers learners to identify organisational products, formulate business questions, apply data analytics tools, and interpret consumer insights across digital platforms. Aligned with Singapore’s Retail Jobs Transformation Map (JTM), the course addresses the urgent need for workforce upskilling by preparing learners to transition from repetitive roles to data-informed decision-making positions. Participants will gain practical skills in web analytics, customer behavior tracking, predictive modelling, churn analysis, and dashboard reporting—capabilities that are increasingly essential in retail and applicable across other sectors. This course directly enhances employability and career resilience by enabling learners to perform higher-value tasks, contribute to data strategy, and adapt to evolving retail roles in line with national initiatives promoting job redesign and digital transformation.
What You'll Learn
LO1: List the types of organisational products and identify challenges faced in the digital era
LO2: Explain the types of data analytics metrics used to measure and analyse web data
LU2: Data Analytics Tools and Technologies
LO3: Identify current and emerging core tools used in business intelligence
LO4: Apply appropriate data analytics tools and technologies to gather business intelligence information
LU3: Preparing and Organising Data for Analytics
LO5: Compile and organise data to support measurement of business performance
LU4: Performing Routine Customer Analytics
LO6: Apply appropriate platforms to perform analytics activities such as segmentation, predictive modelling, and churn analysis
LO7: Perform data analysis across digital platforms to derive insights from customer behaviours
LU5: Reporting, Visualisation, and Communicating Insights
LO8: Prepare reports and dashboards to communicate insights for decision-making
Keywords for SEO
• Business Intelligence Training Singapore
• Data Analytics Course for Retail Professionals
• Power BI and Google Analytics Training
• Customer Behaviour Analytics
• Predictive Modelling and Churn Analysis
• BI Dashboard and Reporting Skills
• Web Data and Conversion Funnel Metrics
• Retail Jobs Transformation Map (JTM) Skills
• Upskill for Digital Retail Careers
• Data Cleaning and Preparation Techniques
• Data Analytics Tools for Business Decisions
• AI-Driven BI Strategies
• Data Visualisation Course with Tableau
Entry Requirements
Aged 21 and above
Have basic computer literacy for usage of Microsoft Power BI software
Have minimum Secondary School qualification and minimum 2 years of working experience;
Have an English language proficiency equivalent of higher of any of the following - GCSE N/O Levels pass in English / WPLN Level 5 / IELTS 5.5 / TOEFL (internet based total) 46-59.