Strategy course Course 10 of 24

Use data with more confidence, without becoming an analyst.

A practical course for turning workplace numbers into clear questions, careful interpretations, and decisions you can explain.

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See what you will learn

A professional reviews a chart and distribution before approving a workplace decision. — Data literacy **Data literacy for non-analysts**
30 short lessons. Day 1 is ready.

Best for: Strategy & decisions
Prerequisites: No formal prerequisites
Course length: 30 daily lessons
Lesson pace: About 10 minutes a day
Total learning time: About 5 hours in total
Access: Early access on iPhone and Android

Right for now

If any of this sounds familiar, start here.

Every lesson connects to a conversation, decision, or habit you can change between lessons.

Dashboards leave you unsure

Connect each metric to the decision it is meant to inform.

Percentages sound convincing

Check the denominator, comparison group, and time window before trusting the claim.

Charts drive the meeting

Spot visual choices that exaggerate, hide, or confuse the real comparison.

You work with analysts

Ask for the evidence and limits you need without prescribing a technical method.

Inside the course

Your first three days are already mapped.

The course follows a daily sequence, so the next practical move is waiting when you come back.

Decision-first questions

Start with the choice, then decide which evidence matters.

Metric judgment

Read rates, averages, segments, distributions, and forecasts in context.

Evidence checks

Notice data quality problems, selection bias, uncertainty, and weak causal claims.

Clear recommendations

State what the evidence supports, what remains unknown, and what to do next.

Course preview 30 short lessons

Data Literacy for Non-Analysts

Day 1 Start With the Decision

Turn a workplace choice into one decision question with a clear action at stake

Day 2
What Exactly Is Measured

Define a metric by naming its numerator, denominator, population, and time window
Day 3
Denominators Change the Story

Choose a denominator that matches the decision and explain how a different one changes interpretation

Course arc

From vague intention to repeatable moves.

Cadence turns the course into a returnable habit: short lesson, quick check, review, and the next useful step.

01 / 04

Frame the decision

Turn a broad request for numbers into an answerable workplace question.

Read the measures

Interpret denominators, averages, variation, and segments.

Test the evidence

Check quality, bias, causation, experiments, and uncertainty.

Write the brief

Combine the question, metric, evidence limits, and next step.

Full syllabus

30 lessons, arranged as one clear path.

Learn to turn workplace numbers into sound decisions without becoming an analyst. You will question metrics, inspect evidence, communicate uncertainty, collaborate with analysts, and write a concise decision-ready brief.

Module 01

Questions, Metrics, and Denominators

Frame decisions as answerable questions and define metrics with their populations and time windows

Day 1 Start With the Decision
Day 2 What Exactly Is Measured
Day 3 Denominators Change the Story
Day 4 Metric Choice Under Pressure
Day 5 Metric Definition Checkpoint

Module 02

Rates, Averages, and Segments

Interpret rates, averages, distributions, and segments without confusing unlike groups

Day 6 Rates Show Relative Change
Day 7 Averages Hide Variation
Day 8 Read the Distribution
Day 9 Segments Reveal Differences
Day 10 Numbers in Combination

Module 03

Evidence Quality and Uncertainty

Diagnose data quality, selection bias, sampling limits, and uncertainty in workplace evidence

Day 11 Is the Data Fit for Use
Day 12 Who Got Counted
Day 13 Samples Need Boundaries
Day 14 Uncertainty Is Information
Day 15 Evidence Quality Checkpoint

Module 04

Causation, Experiments, and Forecasts

Separate correlation from causation and judge experiments and forecasts for decisions

Day 16 Correlation Is Not Cause
Day 17 Experiments Change One Thing
Day 18 Experiment Results Need Context
Day 19 Forecasts Are Conditional
Day 20 Causal Decision Checkpoint

Module 05

Charts, Dashboards, and Analyst Collaboration

Read visual evidence and ask analysts focused questions that improve decision quality

Day 21 Charts Make Comparisons Visible
Day 22 Chart Integrity Matters
Day 23 Dashboards Need Decisions
Day 24 Ask Analysts Better Questions
Day 25 Evidence Communication Checkpoint

Module 06

Decision-Ready Data Briefs

Produce and rehearse five-part decision briefs from self-contained workplace evidence

Day 26 The Five-Part Brief
Day 27 Make the Metric Auditable
Day 28 State Evidence and Uncertainty
Day 29 Recommend a Proportionate Next Step
Day 30 Decision-Ready Data Brief

How learning works

Read, listen, check your understanding, then keep going.

Short daily lessons

Each lesson is designed around about 10 minutes of focused learning.

Reading and audio

Read the lesson or play its audio when listening fits your day better.

Checks when useful

Lessons can use quizzes, written responses, or guided practice. A lesson can also teach without adding a forced exercise.

Progress and support

Track completed lessons, keep a streak, set reminders, and ask the in-lesson coach for help.

Know the limits. Cadence supports guided self-learning. It does not award an accredited degree or professional certificate, and important AI-generated claims should be checked against reliable sources.

Course questions

What to know before you start.

Course page reviewed 2026-08-02.

Who is Data Literacy for Non-Analysts for?

People who use dashboards, reports, or workplace metrics and want to question the evidence, explain uncertainty, and make better decisions without becoming analysts.

Do I need any prior experience?

No formal prerequisites are required. The course is designed for guided self-learning, and it is most useful when you bring a real situation or goal to the lessons.

How long does the course take?

Data Literacy for Non-Analysts contains 30 lessons designed around 10 minutes each. You open lessons in sequence and can move at your own pace.

What is the learning format?

Lessons can be read or played as audio. The course includes quizzes or practical checks where the lesson calls for them, plus progress tracking and Ask Coach inside lessons.

Does this course award a certificate or degree?

No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.

Start today

Day 1: Start With the Decision

Get access and choose Data Literacy for Non-Analysts. Your first practical move is ready when you open the app.