Statistical Case Studies (2019 Spring)

Statistical Case Studies — from a Data Science Perspective

Time and Venue

  • Every Thursday 10:00 — 12: 35 from February 28 to June 25, 2018
  • Room 101, Building 6, Shahe Campus

Prerequisites

  • Basic knowledge of statistics
  • Basic knowledge of computing

Part I: Tools for Data Processing

  1. Introduction to Data Processing Tools
  2. Data and Statistical Modelling with Python
  3. Natural Language Processing
  4. Chinese Text Processing | PDF
  5. Web Scraping with Python
  6. Guest Lecture: TBA

Part II: Models

  1. Sentiment and Semantic Analysis
  2. Probabilistic Methods for Modelling Texts
  3. Methods for mixed types of data
  4. Guest Lecture: TBA

Part III: Reporting

  1. Visualization Tools | HTML
  2. Guest Lecture: TBA
  3. Presentation
  4. Final Assignments

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