Introduction to Environmental Analytics using R :Azim Premji University

Environmental Analytics offers a rich tapestry of techniques for deeper understanding and management of complex natural environments. The studies on different facets and processes of the environment are increasingly data rich with the great need of applying various advanced techniques to uncover and extract hidden meaningful patterns that could be of assistance in sustainable environmental management.

The course aims to provide basic understanding of statistics and machine learning approaches with extensive hands-on training to analyze environmental data using R programming language.

What does the course offer

The 5‑day certificate course will help participants to learn the essentials of environmental analytics. It will also provide an opportunity to learn about various applications of statistical approaches including machine learning algorithms in the field of environmental and climate science.

With extensive hands-on training using R, participants will learn about different insights one can extract from the data. At the end, participants will have the opportunity to present and discuss the utility of environmental analytics in their own work.

Who should attend?

Participants from NGOs, academicians, early career researchers and PhD scholars working in the field of environmental science and allied sectors with basic knowledge of statistics

Pedagogy

The course is intended to be delivered only through in-person lecture and hands-on sessions. Lecture will assist in enhancing the knowledge of the basic and advanced statistics including machine learning, geo-computation and time series analysis while hands-on tutorial will give exposure to how to use the R for analysing environmental data.

Learning objectives

On successful completion of the course, participants will:

• Get familiar with R programming language
• Perform environmental data analysis using R
• Apply various algorithms for extracting information from environmental datasets
• Visualise datasets and outputs in R

Selection process

All interested participants need to fill out the application form. All participants are required to submit a short description of their specific motivation to join the certificate programme.

Structure of the course

The course will be offered from June 03 – 07. The five-day training is divided into lectures for conceptual understanding of data analytics and hands-on sessions in R for processing of data. It will end with a final presentation from participants about the utility of data analytics in their work and in the project they would be working on during the workshop.

Course Content
(All sessions will start at 9 AM and end at 4:30 PM)

Date Content
03 June 2024 – Introduction to R, Basics of Non-spatial and Spatial Data and Visualisation
04 June 2024 – Simple and Multiple Linear Regression: Environmental Applications in R
05 June 2024 – Visualisation and Modelling of Spatial Data for Environmental Applications using R
06 June 2024 – Time Series Analysis: Monitoring and Forecasting
07 June 2024 – Presentation of Results by the Participants Followed by Group Discussion and Reflection, Written Feedback, and Presentation of Certificates. Closing Session

Timeline

25 MAR 2024 Last day to apply

07 APR 2024 Announcement of results

15 APR 2024 Last day for fee payment

The decision of the evaluation committee will be final.

Course Content

(All sessions will start at 9 AM and end at 4:30 PM)