Courses

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SE 102 – Foundations of Linux and Version Control
SE 102 - Foundations of Linux and Version Control

  • SEMESTER UNITS:

    3

  • PREREQUISITE:

    None

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SE 101 – Introduction to Computing
SE 101 - Introduction to Computing

  • SEMESTER UNITS:

    3

  • PREREQUISITE:

    None

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DS 440 – Portfolio Review
DS 440 - Portfolio Review

  • SEMESTER UNITS:

    3

  • PREREQUISITE:

    None

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DS 400 – Unsupervised Learning Methods
DS 320 - Natural Language Processing and Classification

  • SEMESTER UNITS:

    6

  • PREREQUISITE:

    DS 320

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DS 320 – Natural Language Processing and Classification
DS 320 - Natural Language Processing and Classification

  • SEMESTER UNITS:

    6

  • PREREQUISITE:

    DS 300

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DS 300 – Techniques for Regression Analysis
DS 300 - Techniques for Regression Analysis

  • SEMESTER UNITS:

    6

  • PREREQUISITE:

    DS 210, QNT 102

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DS 200 – Python for Data Scientists I
DS 200 - Python for Data Scientists I

  • SEMESTER UNITS:

    4

  • PREREQUISITE:

    DS 130

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DS 130 – Data Visualisation
DS 130 - Data Visualisation

  • SEMESTER UNITS:

    6

  • PREREQUISITE:

    DS 120

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DS 120 – SQL for Data Science
DS 120 - SQL for Data Science

  • SEMESTER UNITS:

    5

  • PREREQUISITE:

    DS 110

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DS 110 – Preparing Data
DS 110 - Preparing Data

  • SEMESTER UNITS:

    3

  • PREREQUISITE:

    DS 100