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Semester 1

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  • S1 Week 1 - Introduction and Data
  • S1 Week 2 - Descriptive statistics and introduction to data ethics
  • S1 Week 3 - Exploratory data analysis, data communication and visualisation
  • S1 Week 4 - Data Scraping and statistical relationships
  • S1 Week 5 - Linear regression
  • S1 Week 6 - Coursework 1
  • S1 Week 7 - Multiple regression
  • S1 Week 8 - Dealing with high dimensions
  • S1 Week 9 - Introduction to supervised learning - Nearest Neighbours
  • S1 Week 10 - Introduction to unsupervised learning - K-means

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  • Course team
  • Schedule
  • Course Materials
    • Semester 1
      • S1 Week 1 - Introduction and Data
      • S1 Week 2 - Descriptive statistics and introduction to data ethics
      • S1 Week 3 - Exploratory data analysis, data communication and visualisation
      • S1 Week 4 - Data Scraping and statistical relationships
      • S1 Week 5 - Linear regression
      • S1 Week 6 - Coursework 1
      • S1 Week 7 - Multiple regression
      • S1 Week 8 - Dealing with high dimensions
      • S1 Week 9 - Introduction to supervised learning - Nearest Neighbours
      • S1 Week 10 - Introduction to unsupervised learning - K-means
    • Semester 2
  • Labs
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  • Resource List
  • Assessment

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