Data Analytics Course for Kids
Definition
• Data analytics is using tools to study data deeply and clearly.
• It finds answers to questions like “why” or “how” using data.
• Kids learn tools like Tableau, Power BI, or Google Data Studio.
• Moreover, it includes exploring customer behavior and results.
• They combine data from multiple sources to find solutions.
• It helps explain what’s happening and what might happen next.
• Analytics is like solving a mystery using charts and numbers.
Importance
• First, analytics powers smart business and tech decisions.
• It improves project accuracy and creative planning.
• Moreover, it connects math, tech, and business thinking.
• Kids discover how tech companies grow with data insights.
• They develop the ability to predict future outcomes.
• It’s used in marketing, finance, health, and social media.
• They prepare for modern careers by understanding analytics.
Advantages for Freelancing
• Freelancers analyze website traffic and marketing results.
• They help companies understand what customers want.
• Moreover, they create visual reports from spreadsheets.
• Analytics freelancers offer insights into business growth.
• Kids can freelance in survey results or marketing feedback.
• They become consultants for decision-making support.
• Data analytics skills lead to higher-paying freelance jobs.
Session 1 : What is Data Analytics?
Simple definition: using data to make smart decisions
How it differs from data analysis (focus on action and strategy)
Real-life example: Using sales data to decide what to sell next month
Activity: Spot insights in a small sample of business data
Session 2 : Types of Data Analytics
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
Real-life example: Why sales dropped and what to do next
Compare: Past-focused vs. future-focused analytics
Activity: Match analytics types to real-world problems
Session 3 : Data Sources and Data Gathering
Internal vs. external data sources
Collecting data from websites, CRMs, social media, etc.
Real-life example: Gathering customer feedback for product improvement
Activity: Identify possible data sources for a small business
Session 4 : Tools for Data Analytics
Excel, Power BI, Tableau, Google Data Studio, Python, R
When to use what tool (visual vs. coding vs. business-friendly)
Real-life example: Creating a dashboard to track product sales
Activity: Try a demo in Power BI or Google Sheets
Session 5 : Data Preparation & Cleaning
Removing errors, handling missing values, normalizing data
Importance of clean data for accurate analytics
Real-life example: Cleaning a student attendance sheet
Activity: Practice cleaning a messy dataset
Session 6 : Performing Analysis & Finding Insights
Using formulas, pivot tables, and dashboards
Turning raw data into meaningful summaries
Real-life example: Identifying the best-performing store branch
Activity: Build a mini-report from sample data
Session 7 : Telling the Story – Reporting & Dashboards
Why storytelling matters in data analytics
Creating visual dashboards to present findings
Real-life example: Weekly marketing performance report
Activity: Design a simple dashboard for a campaign
Session 8 : Careers & Future in Data Analytics
Roles: Data Analyst, BI Analyst, Data Strategist, Marketing Analyst
Important skills: communication, Excel, BI tools, SQL
Real-life example: Companies using analytics to beat the competition
Activity: Draw your ideal data analytics job + skills map
Bonus Materials
Sample data analytics dashboard templates
Free tools and practice datasets
Analytics vs. analysis comparison chart
Real-world project ideas for beginners
Certificate of Completion for Data Analytics