Environmental Data Analytics using R May 2023 Batch
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.
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
-
Neeti
Neeti is a scientist with experience of more than 20 years in the field of data analytics and geospatial technology. Her research focuses on using various AI-based approaches and geospatial technology in the field of forestry, agriculture, and disaster management.
Before joining Azim Premji University, she worked at Indian Space Research Organisation (ISRO), Clark University, Goddard Space Flight Centre, Boston University, Woods Hole Research Centre (WHRC), and TERI School of Advanced Studies (TERI SAS).
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Kedar Kulkarni
Kedar teaches courses in climate change, statistics and R programming at the University. His research interests lie at the nexus of agricultural economics, environmental economics and development economics.
He holds a PhD in Applied Economics from Oregon State University, USA, a Master’s in Quantitative Economics from the University of Paris Pantheon-Sorbonne, France, and a BA in Economics from the University of Hyderabad, India.
Fee Structure
| INR 5900 | For individuals |
|---|---|
| INR 1180 | For 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