Python for Ecological Data Analysis- Certification Course
Gain practical skills in analyzing ecological and environmental datasets using Python. This intensive 3-day course introduces participants to data analysis, visualization, and ecological modeling techniques widely used in biodiversity research, conservation science, and environmental monitoring.
Through real-world ecological datasets, participants will learn how to manage, analyze, and visualize data using powerful Python libraries such as pandas, NumPy, matplotlib, and seaborn.
Python for Ecological Data Analysis is designed for beginners and researchers who want to apply programming and data science techniques to ecological studies. The course combines foundational Python programming with hands-on ecological data analysis exercises and mini projects.

Mr. S Balasubramaniyam
About the Teacher
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XR Developer | LTTS
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Independent (GIS + XR) Consultant and Researcher
S Balasubramaniyam, a GIS consultant and researcher, brings a wealth of experience to the online workshop. With a Master's degree in Geoinformatics from the University of Madras and a Bachelor's degree in Civil Engineering from the University of Mumbai, he has conducted numerous training workshops across India, offering expertise in spatial analysis, modelling, and change detection analysis. His proficiency extends to a variety of GIS tools and platforms, including ArcGIS Suite, QGIS, Google Earth Engine, and Small world, coupled with programming skills in Python, C++, and Magik. S Balasubramaniyam has coauthored patents and authored publications on innovative approaches in integrating geospatial technology with Extended Reality (XR).
LinkedIn: https://www.linkedin.com/in/bala13/
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Understand Python fundamentals
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Analyze ecological relationships and trends
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Build simple ecological data analysis workflows
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Hands-on exercises
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Ecological datasets and case studies
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Mini project-based learning
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Enhance Career Opportunities
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E-certificates for all participants
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Access to recordings of the live sessions
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Entry to a WhatsApp group for post-session discussion and query resolution
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Interactive learning with scope for questions and discussion
BASIC COURSE SYLLABUS
Foundations of Python + Ecological Data
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Introduction - Why Python in ecology
- Examples: species distribution, climate data, biodiversity analysis
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Python Basics
- Variables, data types (int, float, string)
- Lists and dictionaries
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Basic operations
- Working with Ecological Data
- Introduction to pandas
- Loading datasets (CSV: species counts, rainfall data)
- Viewing and summarizing data
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Hands-on Exercise
- Load a biodiversity dataset
- Calculate mean species abundance
- Filter data (e.g., species > threshold)
Course Details
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Date :24,25,26 July-2026 (3 Days)
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Time : 7:00 PM – 8:30 PM (IST)
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Platform : Zoom
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Level : Beginner Friendly
Course Fees
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Original Price : ₹899/-
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First early Bird : ₹696/- (Till 27-June-2026)
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Second early Bird : ₹796/- (Till 11-July-2026)
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Group Discount : ₹550/- Per Head (Minimum 3 individual)
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Organization Discount: ₹500/-Per Head (Minimum 5 individual)
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Ex interns TNE : ₹450/-
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Ex Participant : ₹610/- (Till 11-July-2026)
If you fall in the discount category (Group discounts/Organizational Discounts/ Present/ Ex Interns), you can pay the discounted amount directly to the bank account below.
Bank details
Account type-current
Account name- Wildlifearc
AC no.: 3346750332
IFSC. :KKBK0002040
UPI ID: Wildlifearc@kotak
Steps for discount payments
After the payment, please send a screenshot or the payment along with the full name, email addresses, WhatsApp numbers of the participants and course name (also, ID provided by institution in case of organizational discount) via WhatsApp to Mr. Kayden Anthony at 8407924258.
GROUP DISCOUNTS
GROUP DISCOUNTS ARE TO BE PAID TOGETHER AS A GROUP TO OUR UPI ID (eg. for 3 members, kindly pay ₹500* 3 = ₹1500 together & not separately)
ORGANIZATION DISCOUNTS
ORGANIZATION DISCOUNTS ARE TO BE PAID TOGETHER AS A GROUP TO OUR UPI ID (eg. For 5 members, kindly pay ₹450* 5 = ₹2250 together & not separately)
For Queries contact us:
WhatsApp : +91 7356337157
Email ID : thenatureseyeevents@gmail.com
