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Information and Application of Data Capture and Analysis

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

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Description

Learner Profile:

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.

What you will get:

  • Understand what information is and how it relates to data 
  • Understand what are ETL/ELT data flow processes 
  • Identify common problems, fallacies and misconceptions that need to be kept in mind when approaching data project 
  • Identify Different ways of data acquisition and related challenges 
  • Learn system architecture, integration, communication protocols and their uses 
  • Learn different data analysis techniques and methods 
  • Software and tools to be used in data acquisition, data analytics, storage, visualisation and application 
  • Gain skills required successfully executing data analytics projects 
  • Develop organisational readiness and where to get help


Modules

Topic 1: Data as a resource 


Definitions Data types


Data project lifecycle 


Value identification 


Topic 2: Common fallacies


Definitions 


Introductions 


Common Biases


Correct questions 


Topic 3: Data acquisition 


Definitions 


Introductions 


Data sources 


Data acquisition 


Topic 4: Data analysis techniques 


Definitions 


Data analysis types 


Methods 


Examples 


Topic 5: Software and tools 


Definitions 


Right tool for the job 


Tool examples 


Data visualisations 


Topic 6: Skills, organization, readiness, impact 


Definitions


Data methodologies 


Data team 


Organisational readiness

Duration

6.5 hours.

Certification

6.5 CPD Hours Engineers Ireland