Python for Biological Data Science: A Beginner’s Guide to Programming
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Course Overview
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Program Syllabus
Module 1
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 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.
Module 2
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.
Limited SeatsClosing Soon
Python for Biological Data Science: A Beginner’s Guide to Programming
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
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.
Module 4
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
Module 5
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.
Module 6
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
Module 7
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Standard Fee: INR 3,998 USD 100
Discounted Fee: INR 1999 USD 50
List of Currencies
Module 8
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 9
Future Career Prospects
- Biological Data Analyst
- Bioinformatics Scientist
- Genomic Data Specialist
- Ecological Data Manager
- Pharmaceutical Data Analyst
- Research Scientist in Academia or Industry
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Module 10
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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Module 11
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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