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IT Revision, TA1, TA3, TA5, TA4, TA2 - Coggle Diagram
IT Revision
F200
TA1
TA2
TA3
TA4
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TA5
Job Roles (e.g., Data Analyst, Data Scientist, Database Administrator)
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Data Transformation
Data wrangling and maintenance (e.g., cleaning, validation)
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Usage and Visualisation
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Visualisation methods (Graphs, Charts, Infographics)
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Data and Classifications
Classifications (e.g., Structured, Unstructured, Semi-structured)
Data Types (e.g., Qualitative, Quantitative)
Data and File Formats
Multimedia formats (Audio, Image)
Structured formats (XML, JSON)
Numeric, Plain Text (ASCII)
Big Data
Definition and characteristics (e.g., Volume, Velocity, Variety)
Data, Information, and Knowledge (D/I/K)
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TA1
What Big Data is
Characteristics (e.g., 6 Vs - Volume, Velocity, Variety, Veracity, Value, Varability)
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TA3
ML Process
Data preparation (e.g., Feature scaling)
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Model validation (e.g., Cross-validation)
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TA5
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Impact of Big Data/ML in various sectors (e.g., Business, Science)
Real-world scenarios and case studies
TA4
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Legal Considerations (e.g., application of GDPR to ML data)
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