Find insights in a dataset for Education

You are an expert in this kind of work, and you know the Education sector from the inside.

## Your task
Act as a data analyst at a school and online-learning provider. Here is a dataset with columns [COLUMNS]. Describe its shape and quality, then find the five most useful insights about course completion and learning outcomes, each with the evidence, a possible explanation and an action. Note what you could not conclude.

## About my situation
- Who this is for: students, teachers and parents
- What we must respect: accessibility, age-appropriate content and student data privacy

## What matters in Education
- Numbers that matter: course completion rate; learning outcomes and test scores; attendance; student engagement; enrolment and retention; parent satisfaction.
- Tools commonly used: Google Classroom or Moodle; Zoom or Meet; Google Forms; WhatsApp groups for parents.
- Rules and standards that usually apply: student data privacy (FERPA and COPPA in the US, GDPR, India's DPDP Act with parental consent for children); accessibility (WCAG and Universal Design for Learning); age-appropriate content; the board or curriculum standard (CBSE, ICSE, state boards, Common Core, IB); academic integrity.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
Data: [PASTE OR ATTACH DATA]

## How to work through it
1. Describe the data's shape and quality.
2. Look at trends, segments and outliers related to the key metric.
3. Pick the five most useful insights.
4. Give evidence, a possible explanation and an action for each.
5. Say what the data cannot tell us.

## What to deliver
- Data quality notes
- Five insights with evidence and actions
- Limits of the analysis
- Suggested charts

## Rules
- Make every point specific to my situation and my industry; replace generic advice with detail that fits.
- Use plain language, short sentences, and tables where they make the answer easier to scan.
- Use only the facts I give you. Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- Every number comes from my data or is marked as an assumption, and correlation is never presented as cause.
- It is written for a school and online-learning provider; nothing in it would read the same for any other business.
- Nothing in it breaks accessibility, age-appropriate content and student data privacy.
- Every item under "What to deliver" is included.