Data Acquisition Methods
Data Acquisition Methods groups the core ideas a learner needs at the 1 · problem framing & data collection stage. Work through the lessons in order when new to the area, or use them independently as a reference when implementing an analysis.
Learn the mechanism one decision at a time
Work through the lessons in order if the topic is new. If you already know the basics, open the specific leaf lesson that matches the operation, diagnostic or failure mode you need.
1Definition→
2Mechanism→
3Example→
4Diagnostic→
5Decision
Surveys and questionnairesSurveys and questionnaires is a practical concept within Data Acquisition Methods. It helps turn the broader workflow stage “1 · Problem Framing & Data Collection” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
02Experiments and A/B testsExperiments and A/B tests is a practical concept within Data Acquisition Methods. It helps turn the broader workflow stage “1 · Problem Framing & Data Collection” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
03Observational dataObservational data is a practical concept within Data Acquisition Methods. It helps turn the broader workflow stage “1 · Problem Framing & Data Collection” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
04Sensors and IoT dataSensors and IoT data is a practical concept within Data Acquisition Methods. It helps turn the broader workflow stage “1 · Problem Framing & Data Collection” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
05Web and API data collectionWeb and API data collection belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
06Logs and event instrumentationLogs and event instrumentation is a practical concept within Data Acquisition Methods. It helps turn the broader workflow stage “1 · Problem Framing & Data Collection” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.