Environmental Analytics Website

Introduction to Environmental Analytics using R May 2023 Batch

Certificate course for 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

Introduction

Environmental Analytics offers a rich tapestry of techniques for deeper understanding and management of complex natural environment. The studies on different facets and processes of environment are increasingly data rich with the great need of applying various advanced techniques to uncover and extract hidden meaningful pattern 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 analyse environmental data using R programming language.

Download Brochure

The 5‑day certificate course will help participants to learn the essentials of environmental analytics. It will also give 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. 

Towards the end, participants will have the opportunity to present and discuss the utility of environmental analytics in their own work.

The course is intended to be delivered through lecture and hands-on sessions. The theory will assist in enhancing the knowledge of the basics of data analytics and the rationale for applying different approaches to a particular dataset and for a goal, while a hands-on tutorial will give exposure to how to use the technology.

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

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

Important Dates

Last date for submission

Announcement of results

Last date for payment

Workshop duration

The course will be offered from May 22 – 26. The five-day training is divided into lectures for conceptual understanding of data analytics and hands-on sessions in R for processing data. 

It will end with the 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.

Session Details

Lecture: Exploratory Data Analysis hands-on session: Installation of R, data importing, visualisation, basic statistical analysis in R

Lecture: Multivariate interdependence technique: PCA, Cluster Analysis hands-on session: Analysis of multivariate environmental data in R, Getting started with individual/group project for analysing environmental data, formulating objectives for the study

Lecture: Multivariate Dependence techniques: Regression hands-on session: Application of Regression in environmental studies using R, Exploring dataset in R for the project

Lecture: Basics of Machine Learning hands-on session: RF and SVM for classification and regression using R Using one or more techniques for analysing the dataset for the project and interpreting them

Presentation of results by the participants followed by group discussion, Closing session, Group reflections, Written feedback, and Presentation of certificates.

All interested participants need to fill the application form. All the participants are required to submit their specific interest in joining the certificate programme. 

Location

B2CD03 Computer Laboratory,
Azim Premji University,
Survey N0. 66, Burugunte Village,
Bikkanahalli Main Road,
Sarjapura,
Bengaluru-562 125.

Click here for directions to the campus.

B2CD03 Computer Laboratory

How to Reach us

Course Faculty

Fee Structure

INR 5900For individuals
INR 1180For partner organisations of Azim Premji University and Azim Premji Foundation

Note: Rates are inclusive of all taxes.

Partial fee waivers available for deserving research scholars

For any queries, please write to environment.workshop@apu.edu.in