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

---

Lab Session related ScreenCasting on YouTube

• SIT742: Modern Data Science

Prepared by TULIP Lab, Australia

---

Content

You are recommended to use Cloud platform to run the materials, such as:

• Google Colab

You can safely skip those sessions that are marked with Optional

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 Manipulation - Data Wrangling
  • SIT742P03A: Data Wrangling
  • SIT742P03B: Parsing CSV, JSON Files
  • SIT742P03C: Parsing XML Files (Optional)
  • SIT742P03D: Parsing Excel Files (Optional)
• Week 04: Data Manipulation - Text Analysis
  • SIT742P04A: Text Preprocessing
  • SIT742P04B: Generating Text Features
  • SIT742P04C: More on Regular Expression (Optional)
• Week 05: Data Manipulation - Data Visualization
  • SIT742P05A: Exploratory Data Analysis
  • SIT742P05B: Matplotlib (Optional)
  • SIT742P05C: Pyplot (Optional)
• Week 06: Data Analytics - Big Data Platform (I)
  • SIT742P06A: Apache Spark
  • SIT742P06B: Case Study: Word Counting in Text (Optional)
• Week 07: Data Analytics - Big Data Platform (II)
  • SIT742P07A: Apache Spark SQL
  • SIT742P07B: Apache Spark MLlib (1)
  • SIT742P07C: Apache Spark MLlib (2)
• Week 08: Data Analytics - Machine Learning (I)
  • SIT742P08A: SciPy and Scikit Packages
  • SIT742P08B: Supervised Learning
• Week 09: Data Analytics - Machine Learning (II)
  • SIT742P09A: Unsupervised Learning
  • SIT742P09B: Anomaly Detection (Optional)
  • SIT742P09C: Isolation Forest (Optional)
• Week 10: Data Analytics - Distributed Machine Learning
  • SIT742P10A: Apache Spark MLlib (3)
  • SIT742P10B: Apache Spark MLlib (4)
  • SIT742P10C: Case Study - Classification (Optional)
• Week 11: Data Analytics - Machine Learning System
  • SIT742P11A: Case Study - Prediction (Optional)
  • SIT742P11B: Machine Learning System

Assessment

• 2020 Assessment Tasks

  • 2020 Assessment Task 1
  • 2020 Assessment Task 2

• 2019 Assessment Tasks

  • 2019 Assessment Task 1
  • 2019 Assessment Task 2

---