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Index

Self Paced

Python for Biologists: Beginners Level

Empower Your Research with Python: Program Your Way to Discovery in Biology

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
1 Month

About

Python for Biologists: Beginners Level is designed to introduce Python programming in a context that is immediately applicable to biological sciences. Over one month, participants will learn how to handle biological data, perform statistical analysis, visualize results, and automate repetitive tasks using Python. The course emphasizes practical, hands-on exercises tailored to common biological data scenarios such as sequence analysis, ecological data interpretation, and genetic data processing.

Aim

This program aims to equip biologists and life science researchers with fundamental Python programming skills to enhance their data analysis capabilities. By the end of the course, participants will be adept at using Python to automate tasks, analyze biological data, and contribute to complex bioinformatics projects.

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Program Objectives

Introduce participants to Python programming concepts and syntax.
Provide an overview of the applications of Python in different biological domains.
Teach participants how to analyze gene sequences, proteins, and transcriptomic data using Python.
Familiarize participants with structural biology techniques such as X-ray crystallography, NMR, and circular dichroism and how Python can aid in their analysis.
Explore pathway analysis and its significance in understanding cellular dynamics, reconstruction, and biomarker prediction using Python-based tools.

Program Structure

Module 1: Sequence Analysis

Introduction to Python for Biologists.
Python Basics: Variables, Data Types, and Control Structures
Gene and Genome Analysis with Python
Protein and Proteome Analysis with Python
Transcriptome Analysis with Python

Module 2: Structure Analysis

Introduction to Structural Biology and Python’s Role
Analyzing X-ray Crystallography Data with Python
NMR Data Analysis with Python
Circular Dichroism (CD) Spectroscopy and Python Analysis

Module 3: Pathway Analysis

Introduction to Pathway Analysis and Its Significance.
Cellular Dynamics Modeling with Python
Pathway Reconstruction
Biomarker Prediction using Python

Participant’s Eligibility

Undergraduate or graduate students in Biology, Biochemistry, Genetics, or related fields.
Research scientists and academic professionals interested in bioinformatics.
Healthcare professionals looking to enhance data analysis skills in biological research.

Program Outcomes

Mastery of Python for biological data analysis
Ability to automate data processing tasks in biological research
Enhanced capability to visualize and interpret complex datasets
Skills in applying computational techniques to real-world biological problems
Readiness to contribute to interdisciplinary research teams

Fee Structure

Standard Fee: INR ~~4,998~~ USD ~~110~~

Discounted Fee: INR 2499 USD 55

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.