DATA LITERACY · NINZA KIDS FOUNDATION

Science behind Data

The subject behind every headline, every claim and every dashboard — how to collect, chart and question data instead of believing it.

ENQUIRE NOW FEES & BATCHES

✓ 6 months · ₹15,000✓ No-Cost EMI ₹3,000 × 6✓ Live small batches, after school

If dance, music, art and sports can start at an early age, then why not Engineering, Medical or Business?

About this course

Children are handed numbers constantly — in news, in advertising, in school textbooks, in social media — and are almost never taught how to interrogate them. A percentage sounds authoritative. An average hides more than it shows. A truncated axis on a graph can make a flat line look like a crisis.

This course teaches data science from the ground up for Class 6 to 10: what data is, how it is collected and cleaned, how averages and spread actually behave, how to build honest charts, how to read probability, and how to spot the manipulations that get used on adults every day.

By the end, students run a small investigation of their own — ask a question, collect real data, analyse it in a spreadsheet, chart it and present the finding, including the parts that did not support their hypothesis.

Who this is for

If two or more of these sound like your child, this course fits.

— Students in Class 6 to 10 who are comfortable with school arithmetic

— Children curious about how conclusions in news and advertising are reached

— Students who may later target data science, analytics, economics or research

— Children who need spreadsheet and charting skills for school projects

— Students who should learn to question a statistic before repeating it

What your child will be able to do

1 Critical Thinking & Reasoning

2 Explain what data is, and the difference between data, information and insight

3 Design a survey or observation that collects usable, unbiased data

4 Clean a messy dataset: missing values, duplicates, wrong entries and outliers

5 Calculate and interpret mean, median, mode, range and spread — and know which to use when

6 Build honest charts and identify the tricks that make dishonest ones

7 Reason about chance and probability, and why coincidence is not causation

8 Run a complete investigation from question to presented conclusion

Detailed syllabus

9 units, taught live and paced to the batch.

1 What Data Is View

•Data, information and insight, and the difference between them

•Types of data: numbers, categories, text, images

•Where data comes from and who creates it

•Data in daily life: school records, cricket scores, weather, prices

2 Collecting Data View

•Asking a question that data can actually answer

•Surveys, observation and experiments

•Samples and why a sample can mislead

•Bias in how a question is worded

3 Cleaning and Organising Data View

•Recording data in a table, rows and columns

•Missing values, duplicates and wrong entries

•Outliers, and when to keep or remove them

•Sorting, filtering and grouping in a spreadsheet

4 Making Sense of Numbers View

•Mean, median and mode, and when each misleads

•Range and spread: why the average is not the whole story

•Percentages, ratios and rates

•Comparing two groups fairly

5 Charts and Visualisation View

•Choosing the right chart: bar, line, pie, scatter

•Building charts in a spreadsheet

•How axes, scales and colour change the story

•Spotting a misleading graph in the wild

6 Chance and Probability View

•Certain, likely, unlikely, impossible

•Simple probability with coins, dice and cards

•Why streaks and coincidences feel meaningful

•Correlation and causation, with real examples

7 Data, Computers and AI View

•How computers store and process data

•What a dataset looks like to a machine

•How AI systems learn from data, in plain terms

•Where AI goes wrong when the data is bad

8 Data and Fairness View

•Privacy: what your data says about you

•Who owns data collected about children

•Bias in data and unfair conclusions

•Being honest with your own findings

9 Capstone Investigation View

•Choosing a question worth investigating

•Collecting and cleaning real data

•Analysing and charting the result

•Presenting the conclusion, including what disproved the hypothesis

Tools and platforms used

Google SheetsMicrosoft ExcelCharts and pivot tablesPublic open datasetsSimple probability simulations

What your child walks out with

OUTCOME

A completed data investigation the child ran themselves

OUTCOME

Spreadsheet and charting fluency for every school subject

OUTCOME

The habit of asking where a number came from

Fees and batches

COURSE FEE

₹15,000

All inclusive. No registration or material charges.

PAYMENT PLAN

₹3,000 × 6

No interest, no processing fee. First instalment at enrolment.

✓ 6 months · 3 live sessions a week

✓ Small live batches, taught live — never pre-recorded

✓ After-school and weekend timings

✓ Every session recorded for revision

✓ Attendance and progress updates for parents

✓ One free trial class before you commit

TALK TO A COUNSELLOR

Get fees, batch timings and the next start date

Fill this in and hit send — it opens WhatsApp with your details ready. One tap and we have your enquiry.

Child’s name

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Preferred timing When would you like to start? SEND ON WHATSAPP Or call +91 90888 39993

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Free trial class

Let your child sit in on one live session before you decide. No fee, no commitment.

Book a free trial →

Parent questions

What is the fee for Science behind Data?+

The Science behind Data course is ₹15,000 for the full six months, or No-Cost EMI of ₹3,000 × 6 with no interest and no processing charge. That covers all live sessions, recordings for revision, assessments and the project work. There is no registration or material fee.

How much time does this take each week?+

Three live sessions a week over six months, scheduled after school hours or at weekends so it never clashes with school. Every session is recorded, so a missed class can be caught up before the next one.

Is this a maths course?+

No, though it uses school arithmetic. The subject is reasoning about evidence: what a number means, whether it was collected properly, and what it does not tell you.

Which class is it suitable for?+

Class 6 to 10. Younger students manage the collecting, charting and probability units well; the fairness and AI units land better from Class 8 upward.

Does my child need to know programming?+

No. The course is taught in spreadsheets. Children who want to go further can take Coding for Kids afterwards and apply Python to the same ideas.

How does it help with school?+

Directly in mathematics, science practicals and social science projects, all of which involve collecting data, tabulating it and drawing a conclusion.

Is a computer required?+

Yes, for the spreadsheet and charting work. A laptop or desktop is needed.

What is the capstone?+

A small real investigation of the child's own choosing — anything from canteen prices to cricket statistics to sleep and test scores — carried from question to presentation.

Can my child try a class before we pay?+

Yes. We run one free trial class so your child can sit in on a live session and you can both judge the teaching before committing. Message us on WhatsApp to book it.

Ask about batch timings and fees

Tell us your child’s class and we will suggest whether Science behind Data is the right starting point.

ENQUIRE ON WHATSAPP CALL +91 90888 39993