The aim of this course is to introduce the basics of information use, data acquisition, data analysis, available tools and common pitfalls.
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:
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
6.5 hours.
6.5 CPD Hours Engineers Ireland
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