Slide 18
Slide 18 text
WHICH ARE THOSE ‘DATA AND DIGITAL’ SKILLS?
• Translating
business needs
• Conduct
experiments
• Summarize,
interpret and
visualize
Data
Analysis
• Supervised
learning
• Unsupervised
learning
• Custom
algorithm
development
Data
Modelling
• Data pipeline
construction
• Production,
automation,
integration
• Software
engineering
Data
Engineering
• Data
formatting,
fixing importing
errors
• Handling
missing values
• Querying,
joining, slicing
Data
Mechanics
• Test and
monitor model
fairness
• Gather
‘informed’
consent
• Plans to protect
and secure user
data
Data
Ethics
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Source: https://brohrer.github.io/data_science_archetypes.html
https://www.amazon.com/dp/B07GTC8ZN7/