Python for Genomics

SKILLS: Python Programming | Genomic Data Analysis | Bioinformatics Applications

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Overview

Introduce Python programming fundamentals, develop problem-solving skills, enable genomic data representation and analysis, implement Python functions for bioinformatics tasks, and prepare learners to build simple genomics applications using Python.

START DATE

Sep 01 2026

END DATE

Oct 30 2026

Delivery Mode

Online

Duration

3 Hours

Type

Theory

Course Fee

Free

Credentials and Certification

1 Certificate

Course Category Micro-Credentials (Basic)

TARGET AUDIENCE CHRIST University students

Digital Credential

indicating verified micro-credential completion.

RECOMMENDED FOR

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

COURSE DELIVERY

Action-based learning materials with guided assessments and faculty support.

Course Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Python Programming Fundamentals

Understand the core concepts of Python programming, including syntax, variables, functions, and control structures for genomic data analysis.

CORE KNOWLEDGE

Genomic Data Processing

Develop Python scripts to process genomic sequences efficiently while performing essential bioinformatics data manipulation and analysis tasks.

PRACTICAL LEARNING

Data Structures and Functions

Apply appropriate Python data structures and reusable functions to organize, process, and analyze biological datasets effectively and accurately.

PROGRAMMING SKILLS

Sequence Analysis Techniques

Perform sequence analysis using Python to identify patterns, compare genomic data, and solve fundamental bioinformatics research problems.

BIOINFORMATICS

Computational Problem Solving

Develop logical programming solutions for genomic challenges by applying algorithmic thinking and efficient coding practices in Python.

ANALYTICAL THINKING

Applied Bioinformatics with Python

Build practical bioinformatics applications by integrating Python programming techniques with genomic analysis for real-world scientific research.

INDUSTRY READINESS

ELIGIBILITY CRITERIA

UG/PG students, Research scholars, Life science professionals and beginners interested in learning Python

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Vijay Arputharaj

Assistant Professor

Dr. Vijay Arputharaj J is an Associate Professor with over 15 years of teaching and research experience. His expertise includes Python, genomics, bioinformatics, AI, and digital learning. He has published 20+ research papers, authored book chapters, and developed innovative micro-credential courses

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 01

Introduction to Python

Module 02

Python Fundamentals

Module 03

Genomic Data Representation

Module 04