About this course

The data you collect could either have meaning in your world, or it can be completely useless. Therein lies the skill – to be able to sift through all that data to figure out what is relevant and what isn’t. This training course will equip learners with skills to make good decisions after the data analysis process.

The Basic Data Analysis training course is designed to take you through the process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making in the field of asset management.

The training will provide you with a good understanding of the requirements to ensure that the quality of the data is intact before you can attempt to analyse and model a response to a problem. The course includes a module on data visualisation which makes it easier to spot patterns and trends which will visually support the insights you have gained.

Learners will require Excel skills to complete this training.


At the end of this course learners will be able to:

Explain the benefits of proper data analysis for effective decision-making

Explain the difference between data, information and knowledge

Describe the steps in the data management process

Identify the information and data required to answer a specific question

Explain the key points to consider when collecting data

Compile a plan to collect data from multiple sources

Use Excel to prepare data for further analysis

Explain what is meant by “data quality”

Review a data set to assess and improve its quality

Select the most appropriate analysis technique for the issue to be resolved

Analyse a set of data and draw conclusions from it

Explain the key success factors for a compelling presentation

Present information and the conclusions visually as a compelling story

Basic Data Analysis - Content

Who should attend?

  • Maintenance planners
  • Maintenance supervisors
  • Asset care engineers
  • Reliability engineers

Format and duration

  • Blended learning, with elearning and virtual classroom contact sessions.
  • 24 notional hours
  • Formative activities


  • Learners completing this training can obtain SAAMA CPD points.