This intro class is designed to train students to efficiently manage, collect, explore, analyze, and communicate in a legal profession that is increasingly being driven by data.
Quantitative Methods for Lawyers is the first course in a two course sequence and it assumes no prior knowledge of statistics / quantitative thinking. You will learn basic concepts and will receive an introduction to R (the open source programming language which is lingua franca of statistical computing). Those with a prior knowledge of statistics, etc. might be advised to simply start with our Legal Analytics course (which is a primer in machine learning / advanced analytics for lawyers).
Our goal is to imbue our students with the capability to understand the process of extracting actionable knowledge from data, to distinguish themselves in legal proceedings involving data or analysis, and assist in firm and in-house management, including billing, case forecasting, process improvement, resource management, and financial operations. At a minimum, we believe that this training will make you a more well rounded 21st Century professional.
Still in beta - we will be adding much more to this page in the coming months!
0. Installing R and R Studio
1. Why Quantitative Methods + Intro to Research Design
2. Research Design Part 2 + Introduction to Sampling
3. Sampling and Randomized Control Trials
4. Variables, Validity, Bias and Correlation
5. More Research Design and Survey Methods Primer
6. Probability and Basic Statistics - Part 1
7. Probability and Basic Statistics - Part 2
8. Conditional Probability and Bayes Theorem - Part 1
9. Bayes Theorem - Part 2 + Data Distributions
10. Binomal and Normal Distributions, Z-Scores
11. Power Laws, Hypothesis Tests & Statistical Significance
12. Chi Square Distribution and Chi Square Tests
13. Students “t” Distribution
14. R Boot Camp - Part 1
15. R Boot Camp - Part 2
16. More T Stat, ANOVA and F-Stat
17. Scatter Plots, Covariance, Correlation
18. Regression Analysis - Part 1
19. Regression Analysis - Part 2
20. Regression Analysis - Part 3
21. Regression Analysis - Part 4
22. Regression Analysis - Part 5
23. Preview of Legal Analytics Course
24. Access the Legal Analytics Course