Data Science

This chapter of Data Science for Water Utilities teaches how to generate various types of descriptive statistics and grouped analysis with R

This chapter of Data Science for Utilities discusses detecting outliers and anomalies in time series data using, including leak detection

This chapter of the Data Science for Utilities is an introduction to machine learning using multiple linear regression and decision trees.

This chapter of the Data Science for Utilities introduces the basic principles of using R for water utilities and advice on how to learn to code

This chapter of the Data Science for Water Utilities teaches how to load and explore water quality data in CSV files and spreadsheets

This chapter of the Data Science for Utilities describes managing dirty data and cleaning it with a script using Tidyverse functionality

This chapter of Data Science for Utilities discusses sharing the results of data analysis using RMarkdown to create a PowerPoint

This chapter of Data Science for Utilities course teaches visualising data with ggplot2 using a water quality case study