Introduction to Environmental Analytics using R
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
Environmental Analytics offers a rich tapestry of techniques for a deeper understanding and management of the complex natural environment. 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 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 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 opportunity to present and discuss utility of environmental analytics in their own work.
The course is intended to be delivered only through in-person lecture and hands-on sessions. The lecture will assist in enhancing the knowledge of basic and advanced statistics including machine learning, geo-computation and time series analysis while the hands-on tutorial will give exposure to how to use the R for analysing environmental data.
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
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.
For more details on fees, course structure and content click here.
Applications are now closed for the certificate course.
Course Faculty
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Ankur Jamwal
Ankur teaches environmental science at Azim Premji University, and specialises in ecotoxicology and ecophysiology. He has over 10 years of experience in research and teaching courses related to aquaculture, animal physiology, and environmental toxicology. Ankur’s research deals with understanding the effects of environmental stress on the physiology of aquatic animals and has experience working in both field and laboratory-based research.
Before joining Azim Premji University, Ankur worked at Dr. Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Bihar for more than four years. Before that, he was a Postdoctoral Scientist at the University of Lethbridge, Canada. He extensively uses R programming in his research and loves to teach and learn more about the applications of R language in science communication.
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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.
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Neeti
Neeti teaches sustainability at Azim Premji University, with experience of more than 20 years in the field of data analytics and geospatial technology. Her research focuses on using various statistical techniques and geospatial tools to address questions in the field of forestry, agriculture, and disaster management.
She has been using R for more than a decade for both spatial and non-spatial data analysis. 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)