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Statistics in everyday life

Read numbers the way a careful analyst does: describe data, think in probabilities, question a study and state a conclusion with its limits.

hours
24
units
4
lessons
24
Certificate level
3
Charts on a monitoring screen

About this course

Read numbers the way a careful analyst does: describe data, think in probabilities, question a study and state a conclusion with its limits.

Who it is for

Anyone who reads news, reports or surveys and wants to know what the numbers really say.

Paces

Standard · Flexible

What you will be able to do

  1. Describe data with averages, spread and charts
  2. Explain probability in everyday terms
  3. Read a survey or study critically
  4. Draw and state a conclusion with its limits

Curriculum

4 units · 24 topics · 24 hours

01Describing data6 lessons · 6 hours

Outcome: Describe data with averages, spread and charts

  1. L01Kinds of data60 min
  2. L02Mean, median and mode60 min
  3. L03Spread: range and standard deviation60 min
  4. L04Charts that tell the truth60 min
  5. L05Percentages and percentage points60 min
  6. L06Outliers60 min
  7. ✓Unit check: show this outcome with evidence
02Probability6 lessons · 6 hours

Outcome: Explain probability in everyday terms

  1. L07Chance in everyday terms60 min
  2. L08Independent and dependent events60 min
  3. L09Expected value60 min
  4. L10Risk: relative and absolute60 min
  5. L11Base rates and Bayes, simply60 min
  6. L12Common probability traps60 min
  7. ✓Unit check: show this outcome with evidence
03Reading studies critically6 lessons · 6 hours

Outcome: Read a survey or study critically

  1. L13Samples and populations60 min
  2. L14Survey design and bias60 min
  3. L15Correlation and causation60 min
  4. L16Experiments and control groups60 min
  5. L17Margins of error60 min
  6. L18Misleading statistics60 min
  7. ✓Unit check: show this outcome with evidence
04Conclusions and limits6 lessons · 6 hours

Outcome: Draw and state a conclusion with its limits

  1. L19From data to a claim60 min
  2. L20Confidence, simply60 min
  3. L21Stating limitations60 min
  4. L22Writing a data summary60 min
  5. L23Explaining numbers to others60 min
  6. L24Capstone: interpret a dataset60 min
  7. ✓Unit check: show this outcome with evidence

How each live lesson runs

Every topic is one live lesson of an hour. Your instructor and mentor are AI, and they say so.

Live lessonLesson 1 · Kinds of dataUnit 1 · Describing data
Teodor VarelaAI instructor

Whiteboard · Idea

Kinds of data

  1. Teodor Varela explains one idea at a time on the whiteboard, in plain words.

How you are assessed

What you hand in

A written interpretation of a dataset

Final check

Interpret an unseen dataset in writing

Who teaches

Every lesson has a named AI teacher and a mentor who keeps you on track. Both are AI, and every screen says so.

  • AI instructorTeodor Varela

    Business, finance, marketing and statistics: explains one idea at a time with worked examples, then hands the problem back.

    • AS-01
    • Knowledge Trainer
  • AI mentorBastian Kwan

    Keeps every learner on track across courses: pacing, reminders, what to do next, when to ask for help. Never gives answers to the check.

    • Course Mentor

First class · try it now

Sit the first class before you decide

Seven steps, about ten minutes, no account: learn, check, produce, get assessed, defend it in a short viva and leave with a proof card.

Start the first class
Statistics in everyday life · Nexier Course