Free learning pathL0–L4

Quantitative development

Build the foundations, methods and work samples used in quantitative development roles.

An entry-level learning direction with educational tasks; check target-role requirements.

Your learning checklist

Required items: 0 / 10 completed or already known

Device storage

Next: Read a role through its responsibilities

Checklist statuses are self-reported; exercise scores are recorded separately. You can reset any item.

L0

Know the role

  1. Translate a role description into three observable learning goals.

L1

Build foundations

  1. Build a sourced calculation table with an independent check.

  2. Describe a distribution and its limits of inference.

  3. Independently: Implement a trade-summary function with boundary checks.

  4. Independently: Distinguish event time, receive time and time zones.

L2

Develop core skills

  1. Independently: Compare floating-point results using a defined tolerance.

  2. Independently: Test order states, empty inputs and repeated events.

  3. Independently: Record baseline, input size and environment before comparing optimisation.

L3

Practise scenarios

  1. Write a sourced analytical paragraph with limitations.

  2. Independently: Define explicit handling for invalid data and connection failures.

  3. Independently: Explain model assumptions, interfaces, tests and limitations.

L4

Build a work sample

  1. Submit a work sample with method, results and reflection.

Try a practice set

Calculations and choices receive immediate checks. Review open responses yourself against the rubric. All examples are educational.

1. The same fill ID with quantity 7 arrives twice. After deduplication, total quantity?
2. What should precede performance optimisation?
3. After the failures, limits and recovery task, state one assumption, one supporting fact and one condition that would change your conclusion.

Quant data tool and test notes

For this quant data tool and test notes, bound the problem to one educational scenario. List inputs and assumptions, preserve calculations and distinguish findings from missing evidence.

Define the question, scope and success criteria of this quant data tool and test notes.

Record data, source links, dates, units and assumptions.

Write reproducible steps with calculations, evidence or a process map.

Separate observations, interpretation and recommendations.

List unknowns, validation steps and conditions that change the conclusion.

Work-sample checklist