Accomplish­ments

This online course (ID: E-5VNXR1) provided an introduction to journal peer review and the academic publishing process. It covered different types of peer review, research integrity issues, structuring peer review reports, and responding to peer reviewer comments.

This workshop included several sessions on foundations of study design and statistical analysis in ecology. It also illustrated the applications of R programming for analysis and visualisation of ecological data.

This online course (ID: E-602DN0) taught what to look for in each section of a typical research article manuscript and provided a peer review template to structure the final review report.

This training included three 1.5 hour sessions on overview and tools for species distribution modelling.

It included more 15 sessions to introduce the theory, tools and case-studies for assessing ecosystem services in the Western Himalayas.

This 3-week online course covered a thorough introduction to the Sustainable Development Goals (SDGs), specifically what they are, how progress can be measured, and how the SDGs are relevant for the management of the global systems supporting humanity.

This 5-week online course covered an introduction to research data management and sharing. Specifically, it included the management plans, organization, documentation, storage and security of research data. Further, it introduced the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.

This 4-course online specialization covered how to find, create, evaluate, filter analyze spatial relationships of GIS data. Further, it included how to design an effective map, how to work with satellite imagery, and how to effectively present the analyses in a web-based story map in the capstone course.

• Introduction to GIS Mapping
• GIS Data Acquisition and Map Design
• Spatial Analysis and Satellite Imagery in a GIS
• GIS, Mapping, and Spatial Analysis Capstone

This 4-week online course covered the basics of designing experiments and analysing the resulting data.

This 5-week online course covered what algae are, why they are important, and why we are interested in them for both their environmental benefit, as well as their use for products.

This 5-course online specialization covered how to analyze and visualize data in R, create reproducible data analysis reports, perform frequentist and Bayesian statistical inference, model data to understand natural phenomena, make data-based decisions and communicate statistical results effectively.

• Introduction to Probability and Data with R
• Inferential Statistics
• Linear Regression and Modeling
• Bayesian Statistics
• Statistics with R Capstone

This 5-course online specialization covered the basics of academic essay writing including grammar and punctuation, academic language, citing sources in different formats and developing a good research paper.

• Grammar and Punctuation
• Getting Started with Essay Writing
• Advanced Writing
• Introduction to Research for Essay Writing
• Project: Writing a Research Paper

This 5-week online course provided an introduction to ecology and ecosystem dynamics using a systems thinking lens.

This 5-week online course covered the scientific (technical), economic, and socio-political dimensions of the Ecosystem Services concept through a mix of theory, case-studies, interviews with specialists and a serious-game.

This 21-lecture course introduced the basic elements of academic information seeking. It explored the search process from defining a strategy to evaluating and documenting your search results.

This 10-course online specialization covered the concepts and tools for the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. The first part, Data Science: Foundations using R, demonstrated the use of R to clean, analyze, and visualize data, and the use of GitHub platform to manage data science projects and publish reproducible analyses. The second part, Data Science: Statistics and Machine Learning covered the foundational concepts and applications of regression analysis, least squares, and inference using regression models. The final Capstone Project applied the skills learned by building a data product using real-world data.

• The Data Scientist’s Toolbox
• R Programming
• Getting and Cleaning Data
• Exploratory Data Analysis
• Reproducible Research
• Statistical Inference
• Regression Models
• Practical Machine Learning
• Developing Data Products
• Data Science capstone

This 6-week online course provided an overview of the theories behind the evolution and dynamics of biological diversity. Further, it introduced the methods and techniques for estimation of biological diversity.

This 12-lesson online course covered an interdisciplinary field of study focusing on the physical, biological, and human dimensions of mountains.

This 6-week online course introduced the methods to perform systematic reviews and meta-analysis of clinical trials. Further, it covered how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

This 4-week online course outlined the fundamentals of doing research. Further, it provided an understanding of research approaches and skills.