Professionals in agricultural and environmental sciences often deal with large volumes of data that require statistical processing to extract meaningful information. The course aims to provide a basic understanding of some of the most commonly used statistical techniques in agricultural and environmental sciences research and analysis. The course provides extensive hands-on training using R programming language, without overwhelming the participants with deep mathematical concepts behind the statistical formulae.
What does the course offer?
The 5‑day certificate course will help participants to learn the essential statistical methods used in hypothesis testing using the data relevant to environmental, agricultural and allied sciences.
The participants will be provided with a theoretical basis of each statistical test, reinforced by extensive hands-on sessions on realistic data. The course also envisions acting as a primer for learning R programming language, which is becoming increasingly popular among practitioners and academics due to its open-source nature and ease of handling varied kinds of data.
At the end of the course, the participants are expected to develop a better understanding of statistical tools and to feel comfortable adopting R programming for routine data analytics. The participants will also have an opportunity to work on the data of their choice and present their findings.
The course includes lectures and hands-on sessions on the data provided by the instructors. Lectures will assist in teaching the basic concepts related to statistical methods, while hands-on tutorials will give exposure to how to use the R for analyzing the data. The participants will also have the opportunity to work on their own data.
On successful completion of the course, participants will:
get familiar with R programming language
identify suitable statistical tools for hypothesis testing
be able to understand the relationship between variables in environmental and agricultural data
be able to interpret results from data analysis
Participants from NGOs, academicians, early career researchers, and PhD scholars working in environmental, agricultural, and allied sectors. The course teaches fundamental statistics and no prior experience with R is required.
All interested participants need to fill out the application form. All the participants are required to submit a short description of their specific motivation to join the certificate program. This should be done using the apply button at the beginning of this page.
Last date to apply: 15 September 2023
Announcement of results: 30 September 2023
Last day for the fee payment: 15 October 2023
The decision of the evaluation committee will be final.
In case of any queries, please write to: firstname.lastname@example.org
Ankur, an aquatic ecophysiologist, has an interest in studying how anthropogenic pressure, through pollution, contaminants of emerging concern, water usage pattern, agriculture, and introduction of exotic and alien species, affects aquatic ecosystems.
Since the food grown in water, such as fish and paddy, can accumulate significant proportions of contaminants and cause public health issues, much of his work is also concerned with understanding the effects of environmental contaminants on the physical and behavioural health of vertebrates through contaminated diet.
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).