Python for Biological Data Science: A Beginner’s Guide to Programming
Unleash the Power of Python in Biology: Transform Data into Discovery
Online/ e-LMS
Self Paced
Moderate
1 Month
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
Fee Structure
Standard Fee: INR 4,998 USD 110
Discounted Fee: INR 2499 USD 55
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 CurrenciesBatches
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.
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
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Recent Feedbacks In Other Workshops
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
