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School of Data & Tech

Data Analytics Basics

Step 3 of 8 in Tech Lab

Next in your path: 7.4 SQL Basics

What you'll be able to do
  • Explain what data analysts do and the four types of analytics.
  • Turn a vague request into a clear, answerable question.
  • Find free, trustworthy data (including official data from your country's statistics office) and clean it.
  • Describe data with the right numbers: mean, median, mode, range and percentages.
  • Avoid the classic traps: correlation is not causation, small samples, misleading charts.
  • Present findings in a short, honest summary with one good chart.
Words in this course 46Open the Vocabulary Hall
01

What data analytics is (and the 4 types)

In simple words

Data analytics is being a detective with numbers. You collect clues (data), look for patterns, and then tell people what really happened and what to do next.

Key facts
  • Data is recorded facts: sales, visits, survey answers, temperatures, clicks.
  • Data analytics means collecting, cleaning, exploring and explaining data to help people make decisions.
  • The four common types, from simplest to most advanced:
TypeQuestion it answersExample
DescriptiveWhat happened?"We sold 420 coffees last week."
DiagnosticWhy did it happen?"Sales dropped on rainy days."
PredictiveWhat is likely to happen?"Next Saturday will probably be busy."
PrescriptiveWhat should we do?"Schedule an extra barista on Saturdays."
  • A simple analysis process: Ask > Get data > Clean > Explore > Share > Act. Most beginner work is descriptive and diagnostic, and that's where most of the value is for small businesses.
  • Tools you already know count: Excel and Google Sheets (courses 7.1 and 7.2) handle most beginner analysis. SQL (7.4) and Python (7.5) come in when data gets bigger.
Step by step
  1. Pick a business you know, such as a café, a gym or your own side hustle.
  2. Write one question for descriptive analytics: what happened? (for example, how many coffees did we sell last week?)
  3. Write one question for diagnostic analytics: why did it happen?
  4. Write one question for predictive analytics: what is likely to happen?
  5. Write one question for prescriptive analytics: what should we do?
  6. Next to each question, write what data you would need and where it is kept.
  7. Check: you have four questions, one per type, and each could be answered with data.
Watch on YouTube
Descriptive vs diagnostic vs predictive vs prescriptive analyticsMaven Analytics · YouTube · youtube.com

Videos by other creators on YouTube, for reference. They are not made by or affiliated with The Future Market.

LESSON 01What data analytics is (and the 4 types)
LESSON 01 / ANIMATED LESSON / AI VOICE00:00 / 01:00
Read the video script
[Host] "Data analytics sounds fancy. It's really detective work with numbers."
[Text on screen: What happened? Why? What next? What should we do?] "Four questions: what happened, why, what will probably happen, and what should we do."
[Screen: a coffee shop sales sheet] "A coffee shop that knows rainy days are slow can plan staff and stock. That's analytics."
Try it now

Pick a business you know (a café, a gym, your own side hustle). Write one question for each of the four types of analytics.

ClaudeStuck? Copy a ready-made prompt for Claude

Copy this, open Claude, paste it, and Claude will walk you through the lesson step by step.

For a grown-up: Claude is for adults (18+). Copy this, paste it into Claude, and use the answer to explain the lesson to your child.

I'm learning "Data Analytics Basics" on The Future Market. Lesson 1: "What data analytics is (and the 4 types)".

What the lesson teaches:
- Data is recorded facts: sales, visits, survey answers, temperatures, clicks.
- Data analytics means collecting, cleaning, exploring and explaining data to help people make decisions.
- The four common types, from simplest to most advanced:
- Type - Question it answers - Example
- Descriptive - What happened? - "We sold 420 coffees last week."
- Diagnostic - Why did it happen? - "Sales dropped on rainy days."
- Predictive - What is likely to happen? - "Next Saturday will probably be busy."

The exercise I'm working on:
Pick a business you know (a café, a gym, your own side hustle). Write one question for each of the four types of analytics. ---

I'm stuck. Please:
1. Explain the main idea in plain, simple words with one everyday example.
2. Walk me through the exercise one small step at a time. Ask me what I've done so far before giving the next step.
3. Don't just give me the final answer. Help me do it myself, and check my work when I share it.
I'm a parent helping my child (about 8 years old) with a lesson called "What data analytics is (and the 4 types)" from the course "Data Analytics Basics".

Here's what the lesson says:
Data analytics is being a detective with numbers. You collect clues (data), look for patterns, and then tell people what really happened and what to do next.

The activity:
Pick a business you know (a café, a gym, your own side hustle). Write one question for each of the four types of analytics. ---

Please explain this so an 8-year-old understands: short sentences, a fun everyday example, and no hard words.
Then give me 3 simple questions I can ask my child to check they understood, and a way to do the activity together, one tiny step at a time.
Open Claude
My notes
02

Ask a good question first

This lesson is part of full access: every course and every level for one payment.

03

Finding and cleaning data

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04

Describing data with the right numbers

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05

Classic traps (and how to avoid them)

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06

Sharing what you found

This lesson is part of full access: every course and every level for one payment.

++

Final project

This lesson is part of full access: every course and every level for one payment.

??

Quiz

  1. Which type of analytics answers "Why did it happen?"

  2. What should you write down before opening any data?

  3. What is a CSV file?

  4. Why keep the raw data untouched?

  5. For the numbers 1, 1, 2, 3, 20, what are the mean and median?

  6. Sales go from 200 to 250. What is the percent change?

  7. What does "correlation is not causation" mean?

  8. Which chart shows change over time best?

  9. Where can you download free official data tables?

  10. What should a chart title say?

EX

Final exam

This lesson is part of full access: every course and every level for one payment.

CE

Certificate

This lesson is part of full access: every course and every level for one payment.