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Syllabus D2.
Data science and analytics
Syllabus D2
Data science and analytics
2
/
3
Big data and performance management
3:00
Data science methods and processes
2:51
Data Analysis Methods
2:47
Data types
2:42
Regression Analysis
6:32
The use of machine learning and artificial intelligence (AI)
Assessing the output of data models
2:18
Ethical issues on information collection
2:54
MARKABLE Past Paper Question
MARKABLE Past Paper Question
MARKABLE Past Paper Question
MARKABLE Past Paper Questions
MARKABLE Past Paper Question
Mini Markable Question
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D1.
Technology and information systems
D.
Data science and technology for performance and insights
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D1 - D2 Review
D.
Data science and technology for performance and insights
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