Digital

Digital Transformation

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Overview
Curriculum
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Key Objectives:

  1. Identify Key Technologies: Learn about Industry 4.0 technologies (e.g., IoT, Big Data, Blockchain, AI).
  2. Process Improvement & Strategy: Understand process improvements and business strategies in digital transformation.
  3. Analytics Techniques: Learn to extract insights from data and create action plans.
  4. Impact Analysis: Assess the economic, social, and environmental impact of digital transformation.
  5. Strategy & KPI Development: Develop strategies to enhance performance while promoting sustainability and define KPIs to measure success.

 

Course Structure:

  • Digitalization: Benefits and implementation of digital transformation.
  • Big Data: Data processing, visualization, and insight generation.
  • Sustainability: Analyzing digital transformation's impact on society and the environment.
  • Skills Development: Systemic thinking, leadership, and change management.

This course equips learners with essential skills in digital transformation, covering the application of key digital technologies, alignment with business models and strategies, and process optimization using digital tools.

It emphasizes managing technology projects with Agile methodologies, addressing human aspects like training and upskilling, and measuring ROI on transformation initiatives. Learners will explore the impact of digitalization on employee well-being, societal contributions, and environmental sustainability.

 

The course also covers big data analysis, data collection and ETL techniques, and data visualization for extracting insights and developing action plans. Effective communication across teams, leadership styles for digital change, overcoming change management challenges, and applying systemic thinking to understand complex processes are key focus areas.

GYE equips youth with the necessary skills to thrive in green industries, driving a sustainable future through digital innovation.

Curriculum

  • 5 Sections
  • 47 Lessons
  • 17 Quizzes
  • 10h Duration
Expand All
Introduction
1 Lesson
  1. Course Introduction
Module 1
25 Lessons5 Quizzes
  1. Digitalization 1.0: Module Introduction
  2. Digitalization 1.1: Introduction to Computer Systems
  3. Digitalization 1.2: Key concepts & technologies I
  4. Digitalization 1.3: Key concepts & technologies II
  5. Module 1 Lesson 1
  6. Digitalization 2.1: Business Model I
  7. Digitalization 2.2: Business Model II
  8. Digitalization 2.3: Strategy & Roadmap I
  9. Digitalization 2.4: Strategy & Roadmap II
  10. Digitalization 2.5: Organizational Chart
  11. Module 1 Lesson 2
  12. Digitalization 3.1: Value Chain Analysis
  13. Digitalization 3.2: Process Selection
  14. Digitalization 3.3: Process Mapping
  15. Digitalization 3.4: Process Reengineering
  16. Module 1 Lesson 3
  17. Digitalization 4.1 Tools & Data I
  18. Digitalization 4.2: Tools & Data II
  19. Digitalization 4.3 Systems and Structure
  20. Digitalization 4.4: Planning and software requeriments
  21. Digitalization 4.5 Design & Development
  22. Digitalization 4.6: QA testing and deployment
  23. Digitalization 4.7 Software development methodologies
  24. Module 1 Lesson 4
  25. Digitalization 5.1: Intro and Coeconomy
  26. Digitalization 5.2 Cocreation and user involvement
  27. Digitalization 5.3: Feedback and decisions
  28. Digitalization 5.4 Training
  29. Digitalization 5.5: Support
  30. Module 1 Lesson 5
Module 2
4 Lessons4 Quizzes
  1. Sustainability 1: Module Introduction
  2. Module 2 Lesson 0
  3. Sustainability 2: Economical impacts
  4. Module 2 Lesson 1
  5. Sustainability 3: Social Impacts
  6. Module 2 Lesson 2
  7. Sustainability 4: Environmental Impacts
  8. Module 2 Lesson 3
Module 3
13 Lessons4 Quizzes
  1. Big Data Video 1.0: Module Introduction
  2. Big Data Video 1.1: Key Concepts of Big Data
  3. Big Data Video 1.2: Identification
  4. Big Data Video 1.3: Verification
  5. Big Data Video 1.4: Digitization
  6. Big Data Video 1.5: Consolidation
  7. Quiz for Module 3 Lesson 1
  8. Big Data Video 2.1: Intro Extract and Transform
  9. Big Data Video 2.2: Load and Concepts
  10. Module 3 Lesson 2
  11. Big Data Video 3.1: Intro to Visualization
  12. Big Data Video 3.2: Relations KPIs Interactions
  13. Module 3 Lesson 3
  14. Big Data Video 4.1: Introduction to Insights and action plans
  15. Big Data Video 4.2: AI Insights and storytellling
  16. Big Data Video 4.3: Plan, Action and monitoring
  17. Module 3 Lesson 4
Module 4
4 Lessons4 Quizzes
  1. Skills 1: Intro and change management
  2. Module 4 Lesson 1
  3. Skills 2: Systems thinking
  4. Module 4 Lesson 2
  5. Skills 3: Communication
  6. Module 4 Lesson 3
  7. Skills 4: Leadership
  8. Module 4 Lesson 4

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