Age Group: 9–11 – “Junior Analysts”

Duration: Duration: 8–10 weeks
Objective: Objective: Introduce real datasets and hands-on analysis using tech tools.
Teaching Approach: “Think, Explore, and Present Like a Young Analyst”

Learning Focus:

Work with real-world or class data
Learn to clean and filter. Dashboard concepts
Begin storytelling through charts 

Week 1: What is Data Analytics?

Learning Outcome: Understand data’s purpose
Tools: Discussion + video
Sample Activity: Introduce key terms: data, table, graph, insight. Watch a short video to see how data is used in real life.

Learning Outcome: Work with curated real-life datasets
Tools: Tuva Labs
Sample Activity: Analyze a real dataset using Tuva Labs. Identify patterns or simple insights.

Learning Outcome: Collect real data
Tools: Google Forms + Google Sheets
Sample Activity: Design and run a simple survey (e.g., how much time classmates spend on gaming). Collect and organize responses.

Learning Outcome: Structure data in tables, use different charts
Tools: Google Sheets
Sample Activity: Remove duplicates, sort data by age or category, create charts (bar, pie) to show results.

Learning Outcome: Learn how to use filters to explore data and create dashboards
Tools: Google Sheets
Sample Activity: Add filters to charts, create a simple dashboard with visuals that update based on filters.

Learning Outcome: Explore different ways to explain what the dashboard’s data shows
Tools: Google Sheets (dashboards)
Sample Activity: Group discussion — come up with interesting stories or insights based on the dashboard visuals. Share ideas with the class.

Learning Outcome: Create a report or video and share findings
Tools: Choice-based (Google Slides, video, or posters)
Sample Activity: Analyze “Class snack trends” or a similar topic. Present findings in a creative way — slides, video, or posters.

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