Chapters

Analytics and ML Module Guide

Follow Data Dora from messy sensor evidence to an inspectable decision record.

  1. Data Dora studies an uneven sensor-event trail with gaps and irregular spacing on a review table.

    A sensor leaves messy evidence.

  2. Data Dora opens the processing stage into visible input, treatment, and output layers while the team inspects them.

    Dora makes the review step visible.

  3. A bounded analytic result branches toward separate alert and control-review choices as Data Dora explains the path.

    The result may change an alert or control choice.

  4. Data Dora presents sensor observations, transparent processing, a bounded result, and a separate validation record to the team.

    The team explains why anyone should trust it.

A visible analytics path connects uncertain observations to a reviewable decision record.

Start With the Module

This section: Start With the Module — This guide maps the current learning path for Analytics & ML.

This guide maps the current learning path for Analytics & ML. The module contains 59 chapters, linked below in the order learners can study them.

Chapters by Part

This section: Chapters by Part

Edge Computing

Data Quality

Machine Learning

Anomaly Detection

Data & Sensor Fusion

Big Data & Cloud

Choose a Starting Point

This section: Choose a Starting Point — If this subject is new, follow the parts and chapters in the order shown above.

If this subject is new, follow the parts and chapters in the order shown above. If you already have a specific design or troubleshooting question, use the relevant part heading and open the direct chapter link whose title matches that question.

Use the sidebar and site search for supporting material; use this chapter map as your main route through the module.

How to Use This Material

This section: How to Use This Material

  • Start with the first chapter in the relevant part when the topic is unfamiliar.
  • Use direct chapter links for study plans, lab preparation, and review evidence.

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