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EasyUphillTRAININGCORPORATE DEVELOPMENT
Data & Analytics

Time Series Analysis and Forecasting

Forecasting demand, cost or volume requires methods built for data that moves through time. This course covers decomposition, the main forecasting families and how to judge whether a forecast is good enough to plan on.

5 DaysIn-house or publicLive online available

Course outline

What this programme covers, module by module.

  1. 01What makes time series data different
  2. 02Exploration, decomposition, trend and seasonality
  3. 03Simple methods, moving averages and exponential smoothing
  4. 04Regression and causal approaches to forecasting
  5. 05Prediction intervals and communicating uncertainty
  6. 06Accuracy measures and comparing forecast methods
  7. 07Monitoring, recalibration and forecast governance

What you will gain

  • Explore and decompose a time series correctly
  • Recognise trend, seasonality and irregular movement
  • Select forecasting methods suited to the series
  • Produce forecasts with honest uncertainty ranges
  • Evaluate forecast accuracy with proper measures
  • Monitor and correct forecasts as new data arrives

Who should attend

  • Analysts and planners
  • Demand and supply planning staff
  • Finance and budgeting professionals
  • Operations and capacity planners

Upcoming sessions

DateCityDurationFeesBook
26 to 30 Oct 2026Cape Town5 DaysR18,000
9 to 13 Nov 2026Johannesburg5 DaysR18,000
23 to 27 Nov 2026London5 DaysUS$1,800
11 to 15 Jan 2027Dubai5 DaysUS$1,800
1 to 5 Feb 2027Pretoria5 DaysR18,000
12 to 16 Apr 2027Durban5 DaysR18,000
7 to 11 Jun 2027Cape Town5 DaysR18,000

Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.

Enquire about this course

Register your team or ask for a tailored in-house quote. We reply within one working day.

WhatsApp usCourse brochure (PDF)
Fees from
R18,000 per delegate
Duration
5 Days
Field
Data & Analytics
Formats
In-house, public, online