New Year Offer End Date: 31st January 2024
Course

R Programming for Biologists: Beginners Level

Empowering Biologists with R: From Basics to Breakthroughs in Data Analysis.

About Course:

The workshop is an immersive and practical learning experience designed to equip biologists with essential skills in R programming. This workshop provides participants with a foundational understanding of R syntax, data manipulation, statistical analysis, and data visualization, all tailored to the specific needs of biologists. Through hands-on exercises and real-world case studies, participants gain practical experience in importing, cleaning, and analyzing biological datasets using R. The workshop emphasizes the application of R programming in diverse biological contexts, including experimental design, clinical data analysis, ecological modeling, and genomic exploration. By the end of the workshop, participants will have acquired the skills to effectively use R for data-driven decision-making in their biological research, setting a strong foundation for further exploration of advanced R topics. The interactive nature of the workshop fosters a collaborative learning environment, ensuring that participants leave with the confidence and proficiency to apply R programming to their specific research challenges.

Aim: The aim of the workshop is to empower biologists with essential skills in R programming, fostering a comprehensive understanding of its applications in biological research. This workshop 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 workshop, 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.

Course Objectives:

What you will learn?

Day 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

Day 2: 

  • Installing R libraries for data analysis
  • Basic statistical analysis with R
  • Correlation, Regression analysis
  • Concepts of R tidyverse

Day 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

Fee Plan

1 MonthINR [1999]/- OR USD [50]
3 MonthsINR [1999]/- OR USD [50]

Fee Plan

INR 1999 /- OR USD 50

Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Biology, Genetics, Bioinformatics, Pharmaceutical and Biotech companies.

Career Supporting Skills

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Fee Plan

1 MonthINR [1999]/- OR USD [50]
3 MonthsINR [1999]/- OR USD [50]

Fee Plan

INR 1999 /- OR USD 50

Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Biology, Genetics, Bioinformatics, Pharmaceutical and Biotech companies.

Career Supporting Skills

[foreach 2113]

Fee Plan

1 MonthINR [1999]/- OR USD [50]
3 MonthsINR [1999]/- OR USD [50]

Fee Plan

INR 1999 /- OR USD 50

Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Biology, Genetics, Bioinformatics, Pharmaceutical and Biotech companies.

Career Supporting Skills

[foreach 2113]

Fee Plan

1 MonthINR [1999]/- OR USD [50]
3 MonthsINR [1999]/- OR USD [50]

Fee Plan

INR 1999 /- OR USD 50

Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Biology, Genetics, Bioinformatics, Pharmaceutical and Biotech companies.

Career Supporting Skills

[foreach 2113]

Course Outcomes

  • Basic R Proficiency: Participants will have a foundational understanding of R programming, including syntax, data types, and basic functions.
  • Data Handling and Cleaning Skills: Participants will be able to import biological datasets into R, clean and preprocess data, addressing common challenges encountered in real-world scenarios.
  • Statistical Analysis Competence: Participants will possess the skills to perform basic statistical analyses using R, allowing them to draw meaningful conclusions from biological data.
  • Effective Data Visualization: Participants will be capable of creating clear and informative visualizations using R, enhancing their ability to communicate findings visually.
  • Introduction to Scripting: Participants will be familiar with scripting in R, enabling them to automate repetitive tasks and create reusable code.
  • Application of Statistical Tests: Participants will be able to apply statistical tests relevant to biological research questions, enhancing their ability to make data-driven decisions.
  • Practical Experience with Real Biological Data: Participants will have worked with real biological datasets during hands-on exercises and case studies, gaining practical experience in applying R to actual research scenarios.
  • Preparation for Intermediate R Topics: Participants will be prepared to explore intermediate-level topics in R programming and more specialized applications in their specific areas of biological research.