Data Analytics - Foundation & Advanced - 4-day course

Course Highlights

At the end of the course participants will know what the data analytics methodology is.
At the end of the course participants will have a fundamental understanding of how to use the various tools listed below in the course overview.The knowledge acquired will provide an understanding of how Data Analysis can be integrated into the company’s reporting and decision structure.

Participants are advised to continuously practice the tools and techniques learnt on this course and applying it to their organisation.


This course aims to provide sufficient basic knowledge to analyse data in the best way without making any of the common errors.

The main headings we will cover during the course are described below. Each section will first be explained theoretically, followed by practical exercises using example data (or data that is provided by the customer). We will use Minitab data analysis software to practice the various analysis. Each participant will be provided with a free 30 day trial version of Minitab. Some of the topics will also be illustrated using MS EXCEL.

It is advised that each participant has access to a laptop or desktop PC with Windows 7 or above installed

Course Includes

Day 1 and Day 2 – All participants

Day 1: Data Types, Distributions, MSA and Graphical Tools

Day 2: Hypothesis testing – Part I

Day 3 and 4 – Advanced participants

Day 3: Hypothesis testing - Part II, Statistical Process Control, Regression and capability analysis

Day 4: Common Errors in the following areas:

  • Sources
  • Data collection
  • Data quality
  • Estimation
  • Graphics
  • Choosing the test
  • Statistical procedures
  • Interpreting results
  • Reporting

  • Requirements

    This course is recommended for all those in an organisation who want to get a good understanding of Data Analysis, the methodology, the main tools and tests and when to use them and when not.

    Show the next months
    © Copyright - Trigraph Professional Training