Data Analytics - Foundation 2-day course

Course Highlights

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.


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.

In addition we will spend some time looking at various common errors you must be aware to avoid wrong results.

Course Includes

Day 1

  • Data Analysis Methodology – CRISP-DM (Cross-Industry Standard Process for Data Mining)
  • Introduction to Minitab and Excel (History in Minitab & Change settings in Excel)
  • Day 2

  • Principles of Hypothesis testing: What is it and why and when do we use hypothesis testing
  • 1 Sample T-Test: for comparing the averages of one sample against a specific target or historical average
  • 2 Sample T-Test: for comparing the averages of two samples against each other.
  • One way ANOVA: for comparing the averages of 3 or more samples against each other
  • Pared T-Test: for comparing the averages of two samples that contain data that is linked in pairs.

  • Requirements

    It is advised that each participant has access to a laptop or desktop PC with Windows 7 or 8.1 installed. We assume they can bring their own laptop.
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