About
R Programming for Biologists: Beginners Level is a comprehensive one-month program tailored for biologists looking to acquire essential programming skills. The course covers the basics of R programming, focusing on its application in biological data analysis. Participants will learn to manipulate, analyze, and visualize data using R, equipping them with the tools to handle complex datasets commonly encountered in biological research.
The program includes hands-on exercises, real-world examples, and interactive sessions to ensure a practical understanding of R programming. Participants will start with the basics of R syntax, progressing to data wrangling, statistical analysis, and data visualization techniques. By the end of the course, attendees will be proficient in using R for their research projects, making them more competitive in the scientific community.
Aim
The aim of the program is to empower biologists with essential skills in R programming, fostering a comprehensive understanding of its applications in biological research. This program aims to demystify the complexities of R, providing participants, from beginners to intermediate users, with a solid foundation in utilizing R for data analysis in the biological sciences. Through a combination of theoretical knowledge and hands-on practical sessions, attendees will gain proficiency in data manipulation, statistical analysis, and visualization, enabling them to harness the full potential of R as a powerful tool for extracting meaningful insights from biological datasets. By the end of the program, participants will be equipped with the confidence and skills necessary to integrate R seamlessly into their research workflows, ultimately enhancing the efficiency and depth of their biological analyses.
Program Objectives
- Introduce participants to the fundamentals of R programming.
- Equip participants with skills to manipulate and analyze biological data.
- Teach statistical analysis techniques relevant to biological research.
- Develop proficiency in data visualization using R.
- Enable participants to apply R programming in their own research projects.
Program Structure
Module 1
Introduction to R studio
Data Structures in R- vectors, matrix, lists, and Dataframes
Using and Manipulating Basic R Data Types
Control flow- if else, loops, apply
Module 2
Installing R libraries for data analysis
Basic statistical analysis with R
Correlation, Regression analysis
Concepts of R tidyverse
Module 3
Data Visualization with ggplot2- bar plot, frequency plot, box plot, histogram, pie chart
Heat map generation
DNA and Protein sequence analysis with seqinr
Basics of Bio conductor package
Note: Any OS with latest version of R and R studio installed
Participant’s Eligibility
- Undergraduate degree in Biology, Biotechnology, or related fields.
- Professionals in the biological research sector or life sciences industry.
- Individuals with a keen interest in biological data analysis and computational biology.
Program Outcomes
- Mastery of R programming basics.
- Ability to manipulate and analyze biological datasets.
- Proficiency in statistical analysis for biological research.
- Skills to visualize biological data effectively.
- Preparedness for advanced data-driven biological research projects.
Program Deliverables
- Access to e-LMS
- Real-Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet