Welcome to the official launch of the 2026 Batch 1 TESDA Data Analytics Traineeship!

This specialized program, organized in proud partnership with TECHVOC SKILLS INC., is designed to bridge the gap between technical training and real-world industry experience. Today marks the first official day of your journey toward becoming certified data analytics professionals.

This full-day webinar is divided into two mandatory sessions to ensure you are fully equipped, informed, and ready to dive into your roles.

📅 Event Agenda

Part 1: Morning Session (8:00 AM – 12:00 PM)

Orientation & Program Walkthrough

The morning is all about setting you up for success. We will map out your training trajectory, clarify expectations, and introduce you to your mentors.

• Welcome Remarks & Partnership Overview: Deeper insight into the collaboration between TESDA and TECHVOC SKILLS INC.

• Curriculum & Traineeship Roadmap: A breakdown of the core Data Analytics competencies, tools, and frameworks you will be mastering.

• Rules of Engagement: Discussion on attendance, performance tracking, code of conduct, and evaluation metrics.

• Q&A Open Floor: An opportunity to clarify any questions regarding your allowance, modules, or schedules.

Part 2: Afternoon Session (1:00 PM – 5:00 PM)

Day 1: Official Deployment at Metaverse & First Task Assignment

We hit the ground running. The afternoon shifts from orientation to active, practical onboarding as you log your very first official hours of the traineeship.

• Deployment & Role Assignment: Understanding your specific analytics team structures and project assignments.

• Tools of the Trade: Introduction to the data platforms, communication channels, databases, and visualization tools you’ll be using daily.

• First Action Items: Receiving your Day 1 tasks, accessing your initial datasets, and breaking out into project huddles.

👥 Who Must Attend?

All confirmed scholars and trainees of the 2026 Batch 1 Data Analytics program.

📋 Trainee Checklist Before Joining

• Work Environment: Make sure you are in a quiet, comfortable workspace at home with a reliable internet connection and your laptop or desktop ready.

• Punctuality is Key: Please log into Google Meet at least 15 minutes before the 8:00 AM start time.

• Dress Code: Smart casual attire is required as your cameras will be turned on during the sessions.

• Tech Check: Ensure your laptop/desktop, secondary software requirements, camera, and microphone are working properly before joining.

Note: Attendance will be strictly checked at the beginning and end of both sessions.

See you online today, July 20, 2026, to kickstart your career in the dynamic world of Data Analytics!