Certificate in Data Science and Data Analytics

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