New Workshop: Environmental Analytics 2026 • Coming Soon Learn more →
Workshops & Training

Learn Data Analytics in Ecology

We offer analytics and data science workshops for students, professionals and researchers in all domains, especially ecology and natural sciences.

Upcoming

Environmental Analytics 2026

Master R programming and data processing for ecological research. Learn statistical analysis, data visualization, and practical applications.

Coming Soon
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Our Courses

Comprehensive training programs designed for ecology students, researchers, and professionals.

Ecological Sampling: Methods and Applications

Design your experiment successfully with comprehensive field techniques.

Design your experiment successfully with our comprehensive course on Ecological Sampling Techniques. Whether you are a student, researcher, or environmental professional, gain hands-on experience and advanced skills to excel in your fieldwork, publications and make a meaningful impact on ecological conservation.

Target Audience: Students, researchers, environmental professionals

What You'll Learn:

  • Hands-on fieldwork experience
  • Advanced sampling methodologies
  • Publication-ready data collection
  • Conservation impact focus
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Basic Applied Statistics

Foundational statistics for data-driven research.

This foundational course is tailored for students, researchers, and professionals who need a practical understanding of statistical methods in their work. Covering the fundamentals of descriptive and inferential statistics, participants will learn how to analyze data, test hypotheses, and interpret results effectively. The course includes hands-on exercises using real-world datasets, ensuring that learners can apply statistical techniques confidently in various contexts.

Target Audience: Students, researchers, professionals

What You'll Learn:

  • Descriptive & inferential statistics
  • Hypothesis testing
  • Real-world datasets
  • Data-driven decision making
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12 hours

Basics of Environmental Analytics

12-hour foundational course in ecological data analysis.

This 12-hour course is ideal for aspiring environmental analysts, ecology students, and professionals seeking to enhance their analytical skills in ecological contexts. Participants will develop a modeller's mindset, learning how to approach ecological problems with effective modeling strategies. They will gain a solid foundation in statistics and research methods tailored to ecological studies.

Target Audience: Aspiring environmental analysts, ecology students, professionals

What You'll Learn:

  • Modeller's mindset development
  • Statistics & research foundations
  • Data visualization techniques
  • Ecological data analysis practice
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Advanced Environmental Analytics

Advanced modeling techniques for complex environmental data.

Immerse yourself in the complexities of environmental data with our Advanced Environmental Analytics course. Designed for individuals with a foundational understanding of environmental analysis, this course delves into advanced modeling techniques such as ordinations (PCA, CCA), regression, and clustering. Participants will engage with real-world environmental datasets, developing the skills to tackle intricate analytical challenges.

Target Audience: Professionals and researchers with foundational knowledge

What You'll Learn:

  • PCA, CCA ordinations
  • Regression & clustering
  • Multivariate analysis
  • Advanced data visualization
  • Case studies & practical applications
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Reference Management

Hands-on workshop on Mendeley & Zotero for efficient citation management.

Learn to efficiently manage your research references with this hands-on workshop covering both Mendeley and Zotero. Perfect for students, researchers, and professionals who want to streamline their citation workflow and generate bibliographies effortlessly.

Target Audience: Students, research scholars, professionals

What You'll Learn:

  • Collect & organize references efficiently
  • Cite while writing in MS Word & Google Docs
  • Generate bibliographies in any style (APA, MLA, Nature, etc.)
  • Compare Mendeley & Zotero to choose the right tool
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Flowering Plant Identification

Introductory workshop on plant morphology and identification techniques.

An introductory workshop designed for anyone interested in learning the basics of flowering plant identification. Gain foundational knowledge in plant morphology and learn systematic approaches to identify plants accurately.

Target Audience: Students, researchers, nature enthusiasts, professionals in plant-based fields

What You'll Learn:

  • Plant morphology basics
  • Tools and techniques for identification
  • Process of plant identification
  • Hands-on practice tasks
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Data Collection Methods in Plant Science

Field sampling, surveys, and experimental design for plant research.

A comprehensive workshop specially designed for students, research scholars, and professionals working in plant-based fields. Learn to design effective data collection strategies, from field sampling techniques to questionnaire design.

Target Audience: Students, research scholars, professionals in plant-based fields

What You'll Learn:

  • Purpose and types of data in plant research
  • Field sampling techniques
  • Designing field and lab experiments
  • Questionnaire design basics
  • Troubleshooting common field issues
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Machine Learning in Ecology

Certificate program covering ML algorithms and deep learning for ecological data.

A comprehensive certificate program designed for ecologists to master machine learning techniques using ecological datasets. From data preparation to deep neural networks, learn to apply cutting-edge ML methods to ecological research. Basic R programming knowledge is a prerequisite.

Target Audience: Ecologists, researchers with basic R programming knowledge

What You'll Learn:

  • ML pipeline: data preparation, preprocessing, feature selection
  • Tree-based algorithms: Random Forest, Boosted Regression Trees
  • Distance-based algorithms: KNN, K-Means Clustering, SVM
  • Artificial Neural Networks & Deep Learning
  • Hyperparameter optimization & model predictions
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Past Workshops

A history of our successful training programs since 2019.

5-7 December 2025

Data Collection Methods in Plant Science

Field, Surveys and Experiments

14-16 November 2025

Flowering Plant Identification

Introductory Workshop

27 September 2025

Reference Management

Hands-on Workshop on Mendeley & Zotero

18-20 April 2025

Machine Learning in Ecology

Certificate Program

26-28 July 2024

Environmental Analytics [EA 2024-7]

Basics of R-Programming and Data Processing in Ecology

15-17 March 2024

Environmental Analytics

Basics of R-Programming and Data Processing in Ecology

October 2023

Advanced Environmental Analytics

Workshop

April 2023

Basic Environmental Analytics

Workshop

June 2022

Basics of Environmental Analytics

Workshop

15-17 January 2021

Basics of Environmental Analytics

Workshop 5

1-3 August 2020

Environmental Analytics - R & Statistics

Workshop 4

3-5 July 2020

Environmental Analytics & Data Modelling

Workshop 3

23-25 April 2020

Statistics & Environmental Analytics

Workshop 2

19-21 September 2019

Basics of Environmental Analytics

Workshop 1

MIT-WPU Campus, Pune

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