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  4. INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing

INF2-FDS: Task: Preparation for S2 Week 2 workshop

The aim of the S2 Week 2 workshop and the associated preparation is to help you achieve the learning outcome:

  1. Critically evaluate data-driven methods and claims from case studies, in order to identify and discuss a) potential ethical issues and b) the extent to which stated conclusions are warranted given evidence provided.

For this workshop, we will study how to critique students’ reports of data science articles.  This workshop will prepare you for CW2 in which you yourself will read, summarise and critique a data science article. Full details are in the PDF below:

Document
FDS-S2-02-critique-1-prep.pdf (344.48 KB)

Because the materials include students' previous work, the preparation materials are in Learn, as described in the document above.

License
All rights reserved The University of Edinburgh

Book traversal links for INF2-FDS: Task: Preparation for S2 Week 2 workshop

  • INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing
  • Up
  • INF2-FDS: S2 Week 2 - Logistic regression

Navigation links

  • INF2-FDS: Course team
  • INF2-FDS: Schedule
  • INF2-FDS: Course Materials
    • INF2-FDS: S1 Week 1 - Introduction and Data
    • INF2-FDS: S1 Week 2 - Descriptive statistics
    • INF2-FDS: S1 Week 3 - Exploratory data analysis, data communication and visualisation
    • INF2-FDS: S1 Week 4 - Data Ethics, Data Scraping and statistical relationships
    • INF2-FDS: S1 Week 5 - Introduction to supervised learning - Nearest Neighbours
    • INF2-FDS: S1 Week 6 - Linear models
    • INF2-FDS: S1 Week 7 - Coursework 1
    • INF2-FDS: S1 Week 8 - Multiple regression
    • INF2-FDS: S1 Week 9 - Dealing with high dimensions
    • INF2-FDS: S1 Week 10 - Randomness, sampling and simulation
    • INF2-FDS: S1 Week 11 - Estimation and confidence intervals
    • INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing
      • INF2-FDS: Task: Preparation for S2 Week 2 workshop
    • INF2-FDS: S2 Week 2 - Logistic regression
    • INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means
    • INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning
    • INF2-FDS: S2 Week 5 - Regression and inference
    • INF2-FDS: S2 Week 6 - Software engineering for data science
    • INF2-FDS: S2 Week 8 Project writing workshop
    • INF2-FDS: Revision
  • INF2-FDS: Labs
  • INF2-FDS: Workshops
  • INF2-FDS: Resource List
  • INF2-FDS: Assessment
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