Program Overview

Python is a versatile programming language widely used in modern biology, biotechnology, bioinformatics, genomics, and biomedical research. It enables researchers to efficiently process biological datasets, automate repetitive tasks, perform exploratory data analysis, and generate meaningful visualizations.

This workshop is designed to introduce participants to Python programming and its applications in biological data analysis. Through a structured, hands-on approach, participants will progress from Python fundamentals to numerical computing with NumPy, dataset manipulation using Pandas, data cleaning, exploratory data analysis, and visualization using Matplotlib.

The workshop emphasizes practical learning through real biological datasets, helping participants develop the foundational programming and analytical skills required to work with biological data.

Learning Objectives

By the end of the workshop, participants will be able to:

• Understand Python fundamentals and write basic programs for biological applications.

• Perform numerical operations using NumPy.

• Load, manipulate, filter, and analyze datasets using Pandas.

• Clean and preprocess biological data for downstream analysis.

• Perform exploratory data analysis to identify trends, patterns, and outliers.

• Create publication-ready visualizations using Matplotlib.

• Interpret analytical results and communicate biological insights using data-driven approaches.

• Understand how Python can be applied to bioinformatics and life sciences research.

Key Highlights

• Beginner-Friendly Training: Start with Python fundamentals and gradually progress to data analysis.

• Biology-Focused Examples: Learn programming through relevant biological applications.

• Hands-on Practical Sessions: Apply concepts using real biological datasets.

• Essential Python Libraries: Gain practical exposure to NumPy, Pandas, and Matplotlib.

• Data Analysis Skills: Learn data cleaning, preprocessing, exploratory analysis, and visualization.

• Research-Oriented Learning: Develop skills useful for academic projects and life sciences research.

Workshop Curriculum

Module 1: Python Basics

Module 2: NumPy for Numerical and Biological Data

Module 3: Pandas for Biological Dataset Handling

Module 4: Data Cleaning and Preprocessing

Module 5: Exploratory Data Analysis (EDA)

Module 6: Data Visualization Using Matplotlib

Module 7: Applications of Python in Biology

Program Details

Who Should Attend?

• Undergraduate and postgraduate students in Biotechnology, Bioinformatics, Microbiology, Genetics, Genomics, and Life Sciences.

• Research scholars and early-career researchers who work with biological datasets.

• Faculty members and laboratory professionals interested in computational approaches.

• Beginners who want to develop programming skills for biology and bioinformatics.

Prerequisites:

No prior programming experience is required. Basic familiarity with biology and biological data is helpful.

Expected Outcomes

Participants will gain foundational Python programming skills and learn to manipulate, clean, analyze, and visualize biological datasets. They will be able to perform basic exploratory data analysis, generate publication-ready plots, and apply Python to common data-handling tasks in life sciences research.

Contact:

Dr. Lavanya Devi K

lavanya@tdu.edu.in,  Mob. No. +91 9845714170

Associate Professor,

Functional Genomics and Bioinformatics Group, TDU