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Data-Driven Decision Making for Retail and E-Commerce Professionals

USD211.21
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Data-Driven Decision Making for Retail and E-Commerce Professionals



Certificate Course Curriculum

Issued by The Art of Service upon completion, this comprehensive course empowers retail and e-commerce professionals to make informed, data-driven decisions. The curriculum is designed to be interactive, engaging, and practical, with real-world applications and expert instruction.



Course Overview

This course is comprised of 12 chapters, each covering a critical aspect of data-driven decision making in retail and e-commerce. Participants will gain hands-on experience with data analysis tools and techniques, as well as insights into the latest industry trends and best practices.



Chapter 1: Introduction to Data-Driven Decision Making

  • Defining data-driven decision making
  • Benefits of data-driven decision making
  • Challenges of data-driven decision making
  • Setting goals and objectives


Chapter 2: Data Collection and Management

  • Data sources: internal, external, and third-party
  • Data types: structured, unstructured, and semi-structured
  • Data quality and cleansing
  • Data storage and management


Chapter 3: Data Analysis and Visualization

  • Descriptive statistics and data visualization
  • Inferential statistics and hypothesis testing
  • Regression analysis and predictive modeling
  • Data visualization tools and techniques


Chapter 4: Customer Behavior and Segmentation

  • Understanding customer behavior
  • Customer segmentation techniques
  • RFM analysis and customer lifetime value
  • Personalization and targeting strategies


Chapter 5: Market Analysis and Competitive Intelligence

  • Market research and analysis
  • Competitor analysis and benchmarking
  • Market size estimation and growth potential
  • Competitive intelligence tools and techniques


Chapter 6: Product Development and Optimization

  • Product development lifecycle
  • Product feature prioritization and optimization
  • A/B testing and experimentation
  • Product metrics and performance analysis


Chapter 7: Pricing Strategies and Revenue Management

  • Pricing strategies and tactics
  • Revenue management and yield optimization
  • Price elasticity and sensitivity analysis
  • Pricing metrics and performance analysis


Chapter 8: Supply Chain and Inventory Management

  • Supply chain fundamentals and optimization
  • Inventory management and control
  • Vendor management and partnerships
  • Supply chain metrics and performance analysis


Chapter 9: Marketing and Advertising Analytics

  • Marketing mix modeling and attribution analysis
  • Advertising metrics and ROI analysis
  • Campaign measurement and optimization
  • Marketing automation and personalization


Chapter 10: Social Media and Customer Engagement

  • Social media marketing and engagement strategies
  • Social media metrics and performance analysis
  • Customer service and support
  • Social media advertising and promotion


Chapter 11: E-commerce Platform and Technology

  • E-commerce platform selection and implementation
  • Third-party services and integrations
  • Site optimization and performance enhancement
  • Security and risk management


Chapter 12: Capstone Project and Course Wrap-up

  • Capstone project: applying data-driven decision making
  • Course review and key takeaways
  • Future directions and next steps
  • Certificate of Completion


Course Features

This comprehensive course includes:

  • Interactive lessons and activities
  • Real-world examples and case studies
  • Hands-on projects and exercises
  • Expert instruction and feedback
  • Certificate of Completion issued by The Art of Service
  • Lifetime access to course materials
  • Flexible learning schedule
  • User-friendly and mobile-accessible platform
  • Community-driven discussion forum
  • Actionable insights and takeaways
  • Gamification and progress tracking