Duration 2 days – 14 hrs
Overview
This introductory training program is designed to provide frontline and administrative personnel with a fundamental understanding of Data Science and Artificial Intelligence (AI). The course focuses on how data is collected, processed, and analyzed in modern workplaces and introduces AI applications that enhance efficiency, decision-making, and automation in administrative tasks. Participants will gain hands-on experience with basic data handling, visualization, and AI-powered tools to improve productivity in their roles.
Objectives
- Understand the basic concepts of Data Science and AI and their real-world applications.
- Recognize how data is collected, processed, and used in decision-making.
- Use data visualization tools to interpret and present information effectively.
- Understand AI-powered tools and how they can enhance administrative and clerical tasks.
- Apply basic data handling skills for organizing and managing information efficiently.
- Recognize ethical considerations in data privacy and AI usage.
Audience
- Frontline and administrative personnel, including couriers, clerks, and office assistants.
- Employees responsible for receiving, processing, encoding, and safekeeping records and documents.
- Staff providing clerical and administrative support within their unit or department.
- Anyone interested in learning how Data Science and AI can improve workplace efficiency.
Prerequisites
- Basic familiarity with computers, emails, and office software (MS Excel, Word, etc.).
- No prior knowledge of Data Science or AI required.
- Willingness to learn new technologies and digital tools.
Course Content
Day 1: Understanding Data Science and AI for Workplace Efficiency
Session 1: Introduction to Data Science and AI
- What is Data Science, and why is it important?
- Understanding how AI is shaping modern workplaces.
- Real-world examples of AI and Data Science in administration and clerical tasks.
Session 2: Basics of Data Handling and Processing
- How data is collected, stored, and processed in organizations.
- Common data types and their uses (structured vs. unstructured data).
- Hands-on activity: Organizing and cleaning data using Excel or Google Sheets.
Session 3: Data Visualization for Decision-Making
- Understanding charts, graphs, and tables for presenting data.
- Introduction to simple data visualization tools (Excel, Google Data Studio).
- Practical exercise: Creating basic charts and reports from data.
Session 4: AI-Powered Tools for Administrative Efficiency
- How AI helps in document management, scheduling, and communication.
- Introduction to AI-powered tools like chatbots, automated transcription, and smart assistants.
- Hands-on demo: Using AI for automating repetitive tasks (e.g., AI-generated emails, smart spreadsheets).
Day 2: Practical AI Applications and Ethical Considerations
Session 5: Introduction to Machine Learning and Automation
- What is Machine Learning, and how does it work?
- Understanding basic AI-powered automations for administrative work.
- Interactive demo: How AI predicts trends and patterns from data.
Session 6: Using AI for Smart Decision-Making
- AI applications in document processing and data entry.
- How AI improves data retrieval, searching, and classification.
- Practical activity: Exploring AI-driven tools for workplace efficiency.
Session 7: Ethical Considerations in AI and Data Privacy
- Understanding data privacy laws and best practices.
- Risks and challenges of using AI in workplace tasks.
- Ensuring data security and responsible AI usage.
Session 8: Final Workshop & Real-World Applications
- Participants apply data handling and AI-powered tools in a real-world scenario.
- Group discussion on how AI can improve efficiency in their respective roles.
- Final assessment and key takeaways.
