
Digital Transformation
Key Objectives:
- Identify Key Technologies: Learn about Industry 4.0 technologies (e.g., IoT, Big Data, Blockchain, AI).
- Process Improvement & Strategy: Understand process improvements and business strategies in digital transformation.
- Analytics Techniques: Learn to extract insights from data and create action plans.
- Impact Analysis: Assess the economic, social, and environmental impact of digital transformation.
- 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
- 1 Section
- 2 Lessons
- 0m Duration
Digitalization
- Module 1 Introduction
- Digitalization 1.1 - Introduction to Computer Systems