Registration closes
Virtual Workshop

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

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

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days (1.5 hours per day)
  • Starts:
  • Time: IST

About This Course

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 3 days, 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 workshop “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 workshop 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.

Workshop 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.

Workshop 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

Who Should Enrol?

  • 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.

Workshop 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

Fee Structure

Standard: ₹3,998 | $100

Discounted: ₹1999 | $50

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels

Excellent orator and knowledgeable resourceful person

Ranvir Singh
★★★★★
AI for Environmental Monitoring and Sustainablility

Great mentor!

Mladen Kulev
★★★★★
The Green NanoSynth Workshop: Sustainable Synthesis of NiO Nanoparticles and Renewable Hydrogen Production from Bioethanol

She was very professional, clear and precise. I thank him for his time and efforts. Thank you very much.

Jihar
★★★★★
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication

Very clear with the lectures

susana Hernandez

View All Feedbacks →

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber