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DCA-1

Data Capture & Analysis

Transform complex data into actionable insights and enable data driven decision making.

Course Aim

The aim of this course is to introduce the basics of information use, data acquisition, data analysis, available tools and common pitfalls.

 

Overview

With increasing amounts of data and IIoT technology becoming more and more available, the potential positive impact to companies is more achievable than ever. However, understanding how to identify potential opportunities from this data is difficult if people have not been exposed to data analytics before.

 

Target Audience

This course could be a good starting point for people that are considering IIoT/data analyst engineer careers as well as people that think their company could apply data science to improve their business but don’t know where to start and what is involved

 

Course Details

- Date: Register your interest to be notified of next course date

- Duration: 6.5 hours (1 day)

- Time: 9.30 AM - 5 PM

- Method: Virtual

- Course outline: Available by request

Learning Outcomes

As data and IIoT technology become increasingly available and accessible, the potential positive impact to companies is more achievable than ever. 

This programme aims to introduce participants to the ways in which data can be captured and analysed and therefore show the opportunities that it can offer, with a view to them introducing its use to their company. 

At the end of the course participants will be able to:
  • Explain what is information and how it relates to data
  • Describe the ETL/ELT data flow processes
  • Identify common problems, fallacies and misconceptions that need to be kept in mind when approaching data project 
  • Describe different ways of data acquisition and the related challenges 
  • Explain system architecture, integration, communication protocols and their uses 
  • Outline the main techniques and tools used in data analytics projects
  • Identify what is organisational readiness and where they can get help

Facilitator Profile

Daugirdas Stirbys

Daugirdas Stirbys, IIoT Technologist in IMR, MSc Electronics Systems, BSc Computer Engineering. Researcher with 10 years of industrial and research experience in electronics systems, software development, sensorisation and data acquisition, system integration.

 

Certification

8.5 hours CPD-Approved Engineers Ireland Accreditation.

 

Funding is available for qualifying companies. Find out if you qualify by registering your interest below.

Register your interest

*Limited to 8 places

Register Interest - Information and Application of Data Capture and Analysis