# ES0002: Fundamentals of Data Science for Earth and Environmental Systems Science

**Source**: https://www.ntu.edu.sg/ase/admissions/undergraduate-programmes/modules-listing
**Parent**: https://www.ntu.edu.sg/ase/admissions/undergraduate-programmes/second-major-in-sustainability

**Course Description**:

Modeling, simulation, statistical
learning and data science methods are powerful tools for earth and
environmental systems sciences. This course will cover the major
concepts for building and evaluating models, including fundamentals of
statistical and machine learning. Topics covered include (1) basic
concepts and tools in data science, (2) statistical thinking, (3) goals
and principles of scientific modeling, (4) model development, (5) model
calibration and selection, (6) sensitivity analysis, (7) model
evaluation, (8) model predictions, (9) results visualization and
communication. Students will gain hands-on experience in developing
models and simulations (using R programing language).

**AU**: 3AU

**Semester Offered**: Semester 2

**Pre-requisites**: MH1800 Calculus for the Sciences, ES2001 Computational Earth Systems Science

/student_es0002-03-07-2025_04-06-40.pdf?sfvrsn=802d04d_1)

\

**Course coordinator**: Assoc Prof. David LALLEMANT

**Email**: [dlallemant@ntu.edu.sg](mailto:dlallemant@ntu.edu.sg)

**Office Location**: N2-01c-45