Course Duration
2 days (14 hours Including 1 hour assessment)
Course Fee
S$1,417 (inclusive of GST), per participant
More Information
Medium of Instruction: English
Mode of training – Instructor-Led (Synchronous)
Pass Criteria: 20 MCQs (at least 70% achievement)
Venue:
20 Bendemeer Rd, #04-06 BS Bendemeer Centre, Singapore 339914
Course Objective
This hands-on, non-technical course provides a practical introduction to data science and analytics across industries. Participants will learn to extract insights from data, make data-driven decisions, and communicate findings effectively—no coding required.
Course Outline
Day 1: Foundations of Data Analytics
Module 1: Introduction to Data Science
- What is Data Science? (Business Applications)
- The Data Analytics Lifecycle (From Problem-Solving to Insights)
- Case Study: How Netflix Uses Data for Recommendations
Module 2: Data Exploration & Visualization
- Types of Data (Structured vs. Unstructured)
- Visualisation techniques and information displays
- Hands-On Exercise: Analyze Sales Data & Create Visualizations
Module 3: Descriptive & Diagnostic Analytics
- Key Metrics (KPIs, Trends, Outliers)
- Case Study: Retail Inventory Optimization
- Workshop: Finding Patterns in Customer Data
Day 2: Predictive Analytics & Business Impact
Module 4: Predictive Analytics Basics
- Introduction to Machine Learning (Without Coding)
- Case Study: Predictive Maintenance in Manufacturing
- Exercise: Forecasting Sales with Simple Models
Module 5: Data-Driven Decision Making
- How to Interpret Data for Business Strategy
- Case Study: A/B Testing in Marketing Campaigns
- Workshop: Optimizing Pricing Strategies
Module 6: Ethics & Future Trends
- Data Privacy & GDPR Considerations
- AI & Automation in Analytics
- Group Discussion: “The Future of Data in Your Industry”
Capstone Project:
- Teams solve a real-world business problem using provided datasets
- Present findings & recommendations
Company Sponsored Form (More than 1 participant)