Self Paced

Python for Biological Data Science: A Beginner’s Guide to Programming

Unleash the Power of Python in Biology: Transform Data into Discovery

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MODE
Online/ e-LMS
TYPE
Self Paced
LEVEL
Moderate
DURATION
1 Months

About

Python for Biological Data Science: A Beginner’s Guide to Programming” is a foundational course tailored for individuals looking to integrate programming into their biological research. Over one month, participants will explore Python’s core concepts, focusing on its application in biological contexts such as genomics, ecology, and biochemistry. Through hands-on projects, participants will learn to manipulate data sets, apply statistical analyses, and generate informative visualizations.

Aim

The program “Python for Biological Data Science: A Beginner’s Guide to Programming” aims to introduce participants to the fundamentals of Python programming specifically tailored for analyzing biological data. By providing a comprehensive understanding of Python syntax, data structures, and libraries commonly used in bioinformatics, the program equips beginners with the essential skills needed to manipulate, visualize, and analyze biological datasets, fostering their proficiency in programming and empowering them to embark on careers or research endeavors in the rapidly evolving field of biological data science.

Program Objectives

  • Introduce the fundamentals of Python programming in the context of biology.
  • Develop skills in data manipulation and analysis using Python libraries.
  • Teach effective data visualization techniques for biological data sets.
  • Encourage the application of programming to solve complex biological problems.
  • Prepare participants for advanced roles in biological data science.

Program Structure

  • Python Basics Installation
  • Python Data types – Numeric and String
  • Python Data Structures – List, Tuple, Dictionary – with examples from Biotechnology
  • Python control flow – if else and loops – DNA and Protein sequence analysis
  • Generating complement and reverse complement of a DNA Sequence Program to calculate DNA composition and melting temperature of primer Program to find if a given DNA sequence has recognition sequence for a given restriction site

Participant’s Eligibility

  • Undergraduate students majoring in Biology, Bioinformatics, or related fields.
  • Professionals in healthcare, pharmaceuticals, or research institutions.
  • Individuals with a basic understanding of biology and a keen interest in data science.

Program Outcomes

  • Mastery of Python for biological research
  • Proficiency in data analysis and visualization
  • Ability to apply computational methods to biological questions
  • Skills in managing large biological data sets
  • Preparation for advanced study or careers in data-intensive biological fields

Mentor Profile

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Name: DR. VIPIN SINGH
Designation: Ph.D. – CCMB
Affiliation: Ph.D. – CCMB, Hyderabad, Post Doctoral Fellow – 2019-20, IBENS, Paris

Dr. Vipin Singh is a former Associate Professor in the University Institute of Biotechnology, Chandigarh University, Mohali, India. He received his Ph.D. Degree in Biotechnology from Centre for Cellular and Molecular Biology, Hyderabad and earned his postdoctoral from Institute of Biology, Ecole Normal Superior, IBENS – Paris. He has more than 11 years of research and teaching experience in Genome data analysis, Molecular biology, Bioinformatics. His Area of Expertise include Molecular Biology, rDNA Technology, Genetics, Genomics and Proteomics, Bioinformatics -NGS Data Analytics, PERL, R, Python, Awk, Biopython. To date, he has been the resource person for 10 Workshops, the author of 9 research articles published in peer reviewed international Journals etc.

Fee Structure

Standard Fee:           INR 4,998           USD 110

Discounted Fee:       INR 2499             USD 55

Batches

Spring
Summer

Autumn
Winter

Certificate

Program Assessment

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

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
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.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Biological Data Analyst
  • Bioinformatics Scientist
  • Genomic Data Specialist
  • Ecological Data Manager
  • Pharmaceutical Data Analyst
  • Research Scientist in Academia or Industry

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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