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Applied Statistics with R
Applied Statistics with R
  • Syllabus
  • Schedule
  • Content
  • Examples
  • Exercises
  • Assignments
  • Resources
Overview
  • Readings, lectures, etc.
Course content
  • Before we start
  • 1. Exploratory Data Analysis
  • 2. Data Science Basics
  • 3. Sampling; Probability Distributions
  • 4. Confidence Intervals; reshape data
  • 5. Inferential Statistics
  • 6. Hypothesis Testing
  • 7. Intro Regression
  • 8. Workshop on regression
  • 9. Further regression topics; regression diagnostics
  • 10. Group Case Presentations

Sampling; Probability Distributions

Read before class on Monday, September 6, 2021
  • Readings
  • Session Files

Readings

  • ModernDive Chapter 7
  • How popular is Joe Biden?

Session Files

  • You can download all session files (data, code, etc.) by pulling from course Github repo.

Last updated on September 7, 2021

AM01: Applied Statistics with R (Autumn 2022)
London Business School   

Kostis Christodoulou   
kchristodoulou@london.edu

all days    all times
Sussex Place LTs, CLC

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2022 Kostis Christodoulou

This site created with the Academic theme in blogdown and Hugo, with template modifications by Andrew Heiss. Interactive tutorials were developed by Mohannad Shaheen, LBS MAM 2020.

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