Data Science and Earth Science
Discover how human activities are shaping Earth’s future through 6 engaging pathways (4 out of 6 are currently available). Using data science tools such as spatial analysis, predictive modeling, and time-series analysis, learners investigate climate change, pollution, resource use, and biodiversity loss while developing skills to analyze, interpret, and communicate environmental data.
Topics
- climate change
- global warming
- greenhouse effect
- greenhouse gases
- ocean warming
- ocean acidification
- ocean pH
- terrestrial pollution
- aquatic pollution
- atmospheric pollution
- GIS
- energy data
- climate data
- age structure
- age diagram
- age structure diagram
- statistical test
- statistical testing
- hypothesis test
- hypothesis testing
- confidence interval
- p-value
- chi-square
- goodness of fit
- earth systems
- climate science
- biodiversity
- sustainability
- environmental data science
- geospatial analysis
- remote sensing
- spatial analysis
- predictive analytics
- time series analysis
- ecosystem health
- conservation biology
- sea level rise
- carbon cycle
- climate adaptation
- climate mitigation
- environmental monitoring
- population dynamics