Monitoring and Analysis of the Environment Module

Developer: Dr. Kang Xia
Course: Monitoring and Analysis of the Environment
Knowledge prerequisites: Basic statistics
Data Tool(s): Excel or Google Sheets
Module Focus: Analysis of water quality data from two locations of a superfund site (i.e., a site polluted with dangerous chemicals) and soil nutrient data from urban-agricultural sites. A variety of analyses can be performed on the data collected, with the main focus on conducting statistical analysis and determining variance and significance using analyses such as ANOVA and t-test.
Keywords (Disciplinary topic): benzene levels, environmental science, undergraduate, water pollution
Keywords (Data science): descriptive statistics, ANOVA, t-test, plotting

Errors in Measured Data Module
Targeted Data Science Topics and Competencies Data Preprocessing (Data Cleaning) Demonstrate an ability to detect and deal with outliers in data Data Use (Statistical Analysis) Demonstrate an ability to compare results of analysis with other findings Demonstrate an ability to use statistical methods and/or software pertaining to an analysis goal Data Use (Data Communication) Demonstrate an ability to explain results to an appropriate audience Data Visualization (Data Communication) Demonstrate an ability to communicate concepts and findings using graphical or tabular representations of data Demonstrate an ability to create a graphical or tabular representation of data
Module Materials Introductory Materials Data analysis example Data analysis demonstration Data analysis practice Data analysis practice answer ANOVA vs. t-test ANOVA YouTube tutorials Tasks Materials PCB in salmon exercise Water Quality 1 Instructions and Data Set Water Quality 2 Instructions and Data Set Nutrients in soil Instructions and Data Set
Download All Module Materials Here

Errors in Measured Data Module

Targeted Data Science Topics and Competencies

Data Preprocessing (Data Cleaning)
- Demonstrate an ability to detect and deal with outliers in data
Data Use (Statistical Analysis)
- Demonstrate an ability to compare results of analysis with other findings
- Demonstrate an ability to use statistical methods and/or software pertaining to an analysis goal
Data Use (Data Communication)
- Demonstrate an ability to explain results to an appropriate audience
Data Visualization (Data Communication)
- Demonstrate an ability to communicate concepts and findings using graphical or tabular representations of data
- Demonstrate an ability to create a graphical or tabular representation of data

Module Materials

Download All Module Materials Here