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SIT742: Modern Data Science


  • Materials in this module include resources collected from various open-source online repositories.
  • You are free to use, change and distribute this package.
  • If you found any issue/bug for this document, please submit an issue at tulip-lab/sit742
  • Point of Contact: A/Prof. Gang Li

Prepared by SIT742 Teaching Team


Video Casting

Prepared by TULIP Lab, Australia


Content

Jupyter

  • Week 01: Python Programming
    • SIT742P01A: Python and Notebook
    • SIT742P01B: Control Structure and Data Structure
    • SIT742P01C: Functions and OO Programming (Optional)
    • SIT742P01D: Text Processing
  • Week 02: A Touch of Data Science
    • SIT742P02A: Packages and Data
    • SIT742P02B: NumPy
    • SIT742P02C: Pandas
  • Week 03: Data Wrangling
    • SIT742P03A: Data Wrangling
    • SIT742P03B: Parsing CSV, JSON Files
    • SIT742P03C: Parsing XML Files (Optional)
    • SIT742P03D: Parsing Excel Files (Optional)
  • Week 04: Text Analysis
    • SIT742P04A: Text Preprocessing
    • SIT742P04B: Generating Text Features
    • SIT742P04C: More on Regular Expression (Optional)
  • Week 05: Data Visualization
    • SIT742P05A: Exploratory Data Analysis
    • SIT742P05B: Matplotlib (Optional)
    • SIT742P05C: Pyplot (Optional)
  • ...

Assessment

  • 2019 Assessment Tasks

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