Schedule

Calendar of resources

The material in this module is designed to be experienced in an intensive one week format followed by an assessment meant to showcase reproducible statistical analysis skills. For enrolled students, the work will be supported with several live sessions during the main week of delivery.

Day	Topics	Labs
Mon am pm	00 Module overview 01 Introduction part 1 02 Graph basics 03 Describing data 04 Estimation 05 Probability	Lab 01 Graphing I Lab 02 Describing data Lab 03 Frequency data
Tues am pm	06 Hypothesis testing 07 Analyzing proportion data 08 Discrete data 09 Contingency tables 10 Gaussian distribution 11 One-sample tests	Lab 04 Contingency analysis Lab 05 The Gaussian dist Lab 06 2 group tests
Wed am pm	12 Two sample tests vid1 vid2 13 Testing assumptions vid1 vid2 14 Experimental design I 15 ANOVA vid1 vid2 vid3 16 Correlation	Lab 07 ANOVA Lab 08 Cor and reg Lab 09 Graphing II
Thurs am pm	17 Regression vid1 vid2 18 Data and reproducibility 19 Graphing II 20 Experimental design II	Lab 10 Sample size Lab 11 Linear models Lab 12 Mixed effects
Fri am pm	21 Linear models vid1 vid2 22 Mixed effects models 23 Likelihood 24 Generalized linear model 25 Model selection	Lab 13 Likelihood Lab 14 GLM Lab 15 Model selection

Harper Adams Data Science

This module is a part of the MSc in Data Science for Global Agriculture, Food, and Environment at Harper Adams University, led by Ed Harris.