An Intensive 5-Day Online Training Course

Digital Analytics


11 - 15 Sep 2022 Live/Online US $ 2400 Enroll now
11 - 15 Sep 2023 Live/Online US $ 2950 Enroll now

This highly participative online training course will help you to understand the data driven decision-making principles in the industry.

This EuroMaTech online training course seeks to provide delegates with the capabilities and knowledge to perform analysis of qualitative and quantitative data from the available data to drive a continual improvement, like: collection, measurement, analysis, visualisation and interpretation of digital data illustrating user behaviour.  

Participants attending the Digital Analytics online training course will develop the following competencies:  

  • How to achieve the data driven culture within the enterprise?
  • How to make informed, evidence-based decisions and present them,
  • Using Digital Analytics to create value,
  • How to use the data to influence the behaviour?
  • Ways of performing data analytics, visualisation and interpretation. 
Program Objectives

This Digital Analytics masterclass training course aims to enable participants to achieve the following objectives:  

  • Apply the steps needed to use Digital Analytics for decision making
  • Interpret the benefits of adequate data collection, analysis and visualisation
  • Understand the benefits and risks of having high volumes of data
  • Gain the competencies required to perform Digital Analytics
  • Determine appropriate implementation of Digital Intelligence
Training Methodology

The Digital Analytics online training course will combine presentations with interactive practical exercises, supported by video materials, activities and case studies.

Programme Summary

This EuroMaTech Digital Analytics online training course covers essential skills required to perform the collection, measurement, analysis, visualisation and interpretation of digital data illustrating user behaviour on websites, mobile sites and mobile applications, as well as other sources of data.

Program Outline
Day 1: Basics of Data Analytics
  • Data Analytics introduction
  • Data collection
  • Initial data analysis
  • Methods of collecting web-based data
  • Central tendency, data bias and data management tools
Day 2: Data driven decision-making principles
  • Product life cycle management
  • Buyers behaviour analysis
  • Activity based costing and Pricing strategies
  • Marketing strategy influence measurement
  • New product development
  • Sales and discounts planning
Day 3: Creating the Data Analytics system
  • Web analytics
  • Using Google analytics
  • Digital Intelligence
  • Digital customers
  • Determining customer behaviour
Day 4: Digital Marketing
  • Data Visualisation
  • Digital channels
  • Search engine optimization (SEO)
  • Digital Advertising
  • Creating awareness and engagement
Day 5: Forecasting with Digital Analytics
  • Using regression
  • Time series
  • Forecasting demand
  • Forecasting price
  • Look into the future



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