Professional training – Statistics and Statistical Software

Time Series Analysis

Hands-on Time Series Analysis course: you work on Trend and seasonality, Smoothing methods and Stationarity and take away knowledge you can apply right away.

Duration
6 hours, one session
Level
Expert
Format
Online or on-site
Language
German or English
Certificate
Certificate of attendance

Overview

In “Time Series Analysis” we combine fundamentals and practice: you get to know Trend and seasonality, Smoothing methods and Stationarity, apply what you learn in exercises and receive templates and checklists for your own use.

Reliable decisions need sound data analysis. Our statistics courses combine methodological knowledge with confident use of SPSS, R, SAS, Stata, JASP, jamovi and Minitab. You learn to prepare data, choose suitable methods, check assumptions and interpret and report results correctly. Time Series Analysis is a one-day workshop with short methodological input and plenty of exercises on sample datasets. On request we work with data from your research or operations. You receive exercise files, syntax templates and a checklist for daily use.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Focus areas of the course

Trend and seasonalitySmoothing methodsStationarityARIMA modelsForecast accuracySeasonal decomposition

Who is this course for?

  • Researchers, doctoral candidates and students
  • Market researchers and survey analysts
  • Controllers, quality managers and analysts
  • Staff in healthcare and public administration

What you will be able to do

  • You know the key topics of Time Series Analysis – Trend and seasonality, Smoothing methods, Stationarity, ARIMA models, Forecast accuracy and Seasonal decomposition – and can apply them in practice.
  • You carry out analyses with Time Series Analysis independently and correctly.
  • You choose the right statistical method for your research question.
  • You check assumptions and interpret results properly.
  • You present results clearly for reports, publications or decision-makers.

Course outline

Module 1 Getting started and data basis for Time Series Analysis
  • Where Time Series Analysis fits in the analysis process
  • User interface and working environment
  • Importing, checking and cleaning data
  • Variable types and levels of measurement
Module 2 Focus areas: Time Series Analysis
  • Trend and seasonality
  • Smoothing methods
  • Stationarity
  • ARIMA models
  • Forecast accuracy
  • Seasonal decomposition
Module 3 Methods and functions in Time Series Analysis
  • Key procedures and their assumptions
  • Step-by-step execution in the software
  • Checking assumptions and model fit
  • Typical mistakes in method choice and interpretation
Module 4 Hands-on exercises for Time Series Analysis
  • Guided analyses on sample datasets
  • Working on your own research questions
  • Interpreting and phrasing results
  • Group discussion of pitfalls
Module 5 Presenting and reusing results
  • Preparing report-ready tables and charts
  • Export to Word, Excel and PowerPoint
  • Reproducibility through syntax or scripts
  • Next steps and further learning
Module 6 Transfer to your daily work
  • Exercise based on a realistic case
  • Typical mistakes and how to avoid them
  • Checklist and templates to take away
  • Open questions, outlook and resources for further learning

Prerequisites

Depending on the level, confident PC skills or basic statistics are enough. Advanced courses assume the respective fundamentals. Solid hands-on experience with the topic is expected.

Technical requirements

Your own laptop with internet access; software, trial license or access to the training environment is provided in advance.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Thu, 10 December 2026 6 hrs Request
  • Salzburg Mon, 14 December 2026 6 hrs Request
  • Berlin Fri, 11 December 2026 6 hrs Request
  • Augsburg Wed, 16 December 2026 6 hrs Request
  • Hanover Fri, 11 December 2026 6 hrs Request
  • Bremen Tue, 15 December 2026 6 hrs Request
  • Stuttgart Wed, 16 December 2026 6 hrs Request
  • Kaiserslautern Tue, 15 December 2026 6 hrs Request
  • Online Fri, 11 December 2026 6 hrs Request

Frequently asked questions

Do I need prior knowledge of statistics for Time Series Analysis?

That depends on the course level. Beginner courses explain the required fundamentals. Advanced courses assume methodological knowledge or software skills. Tell us your level and we will recommend the right starting point and adjust pace and examples to your group.

Can we analyze our own data in Time Series Analysis?

Yes, if you wish. For in-house sessions we gladly work with your anonymized data and questions. Please provide data in advance and observe data protection rules. Alternatively we use realistic sample datasets that cover all exercises.

How much does “Time Series Analysis” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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