Introduction to Environmental Analytics using R programming language May 2023 Batch – Azim Premji University
Apply by 15th March 23
Azim Premji University was established under the Azim Premji University Act 2010 of the Government of Karnataka. Azim Premji Foundation, the sponsoring body set up the University as a fully philanthropic and not-for-profit entity, with a clear social purpose. The University started in 2011 and since then have admitted over 2000 students.
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.
What does the course offer?
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.
Pedagogy
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.
Learning Objectives
On successful completion of the course, participants will:
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Get familiar with R programming language
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Perform environmental data analysis using R
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Apply various algorithms for extracting information from environmental datasets
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Visualise datasets and outputs in R
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
Important Dates
- Last date for submission
- Announcement of results
- Last date for payment
- – Workshop duration
Structure and Content
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.
Eligibility and Selection Process
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.
COURSE FACULTY
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
