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  • Programming for Data Science
CoursesInformation TechnologyProgramming for Data Science
  • Section 1: Creative code - Computational thinking 1

    • Lecture1.1
      Section 1: Creative code – Computational thinking 30 min
  • Section 2: Building blocks - Breaking it down and building it up 1

    • Lecture2.1
      Section 2: Building blocks – Breaking it down and building it up 30 min
  • Section 3: Repetition - Creating and recognising patterns 1

    • Lecture3.1
      Section 3: Repetition – Creating and recognising patterns 30 min
  • Section 4: Choice - Which path to follow 1

    • Lecture4.1
      Section 4: Choice – Which path to follow 30 min
  • Section 5: Repetition - Going further 1

    • Lecture5.1
      Section 5: Repetition – Going further 30 min
  • Section 6: Testing and Debugging 1

    • Lecture6.1
      Section 6: Testing and Debugging 30 min
  • Section 7: Arranging our data 1

    • Lecture7.1
      Section 7: Arranging our data 30 min
  • Section 8: Functions - Reusable code 1

    • Lecture8.1
      Section 8: Functions – Reusable code 30 min
  • Section 9: Data Science in practice 1

    • Lecture9.1
      Section 9: Data Science in practice 30 min
  • Section 10: Where next? 1

    • Lecture10.1
      Section 10: Where next? 30 min
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