Time Series and Predictive Maintenance

Entry requirements

M01; statistics and pandas

What 36 hours means

Lessons

24 h

Capstone

8 h

Assessment

2 h

Remediation

2 h

Syllabus

Four modules, twelve lessons. Every lesson states what it covers and the evidence you produce for it.

• Module

  01

  3 lessons · 6 h

  

  Module 1

  Temporal data

  Time and sampling · Resampling and missingness · Temporal leakage

  M03Show lessonsHide lessons▾

  1. M03.01 · 120 min

     Time and sampling

     Inspect timestamps, time zones and irregular intervals.

     Evidence: A cleaned timeline retains an audit of dropped or repaired points.

  2. M03.02 · 120 min

     Resampling and missingness

     Aggregate sensor streams without filling across invalid gaps.

     Evidence: A gap policy passes supplied edge cases.

  3. M03.03 · 120 min

     Temporal leakage

• Module

  02

  3 lessons · 6 h

  

  Module 2

  Forecasting

  Naive forecasts · Feature engineering · Forecasting models

  M03Show lessonsHide lessons▾

  1. M03.04 · 120 min

     Naive forecasts

     Build last-value and seasonal baselines.

     Evidence:

• Module

  03

  3 lessons · 6 h

  

  Module 3

  Anomalies

  Anomaly detection · Failure prediction · Alert thresholds

  M03Show lessonsHide lessons▾

  1. M03.07 · 120 min

     Anomaly detection

     Compare rule limits and an unsupervised detector.

     Evidence:

• Module

  04

  3 lessons · 6 h

  

  Module 4

  Operational alerts

  Root cause investigation · Streaming simulation · Maintenance handover

  M03Show lessonsHide lessons▾

  1. M03.10 · 120 min

     Root cause investigation

     Combine signals and maintenance notes without claiming causation.

Capstone

Predict or detect equipment anomalies from time-stamped sensor data and design an alert policy that controls false alarms and documents response ownership.

Lab environment

CPU notebook

Lab infrastructure is not yet provisioned, so this describes the environment the course is designed for rather than one you can launch today.