New Year Offer End Date: 30th April 2024

professional programmer working late dark office

Program

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

Python , List, Tuple, Dictionary, Data Structures

ACCESS THIS PROGRAM

MODE
Mode(Online) TYPE
Self Paced LEVEL
Moderate Program Length
4 Hours

Skills you will gain:

Data analysis Problem-Solving Data Visualization Python Programming

About Program:

The program Python for Biological Data Science: A Beginner’s Guide to Programming is designed to provide newcomers to the field with a solid foundation in Python programming, tailored specifically for biological data analysis. Through a structured curriculum, participants are introduced to key programming concepts and techniques, including variables, control structures, functions, and object-oriented programming, with a focus on their application in the context of bioinformatics. Additionally, the program covers essential Python libraries and tools commonly used in biological data analysis, such as Biopython, NumPy, pandas, and matplotlib, enabling participants to perform tasks such as sequence manipulation, data visualization, statistical analysis, and machine learning. By the end of the program, participants emerge equipped with the skills and confidence needed to effectively utilize Python programming for exploring, processing, and interpreting biological data, positioning them for success in academic research, industry, or further study in the rapidly expanding field of biological data science.

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:

Install Python Basics: Guide participants through the installation process of Python and necessary packages.
Python Data Types: Introduce numeric and string data types in Python, emphasizing their usage and manipulation.
Python Data Structures: Explore list, tuple, and dictionary data structures in Python, providing examples relevant to biotechnology applications.
Python Control Flow: Teach participants how to use conditional statements (if-else) and loops for DNA and protein sequence analysis.
DNA Sequence Operations: Demonstrate how to generate complement and reverse complement sequences, calculate DNA composition, and determine melting temperature of primers.

What you will learn?

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

Fee Plan

INR 1999 /- OR USD 50

ACCESS THIS PROGRAM

Intended For :

Biological Sciences Students: Undergraduate and graduate students majoring in biology, biochemistry, biotechnology, genetics, or related fields who wish to acquire programming skills for analyzing biological data.
Researchers in Biology: Professionals working in research laboratories or academic institutions who seek to enhance their proficiency in Python programming specifically for biological data analysis.
Bioinformatics Enthusiasts: Individuals interested in bioinformatics and computational biology who lack prior programming experience but wish to learn Python for analyzing biological data.
Healthcare Professionals: Doctors, clinicians, or healthcare professionals interested in leveraging programming skills to explore biomedical datasets or research areas related to genetics, genomics, or personalized medicine.
Educators: Teachers, instructors, or educators in biological sciences who wish to incorporate programming and bioinformatics into their curriculum or teaching methodologies.

Career Supporting Skills

Engineer Scientist Senior Systems Engineer Systems Modeling & Controls Expert Data Scientist

Program Outcomes

Proficiency in installing Python and essential packages required for biotechnological applications.
Mastery of Python data types, including numeric and string data, for effective data manipulation.
Competency in utilizing Python data structures such as lists, tuples, and dictionaries for organizing and storing biotechnological data.
Ability to apply Python control flow constructs (if-else statements and loops) for DNA and protein sequence analysis tasks.
Skill in performing DNA sequence operations, including generating complement and reverse complement sequences, calculating DNA composition, and determining primer melting temperature.