Self Paced

R Programming: Basic to Advanced Course

R, R Studio, R data types

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Early access to the e-LMS platform is included

  • Mode: Virtual (Google Meet)
  • Type: Self Paced
  • Level: Moderate
  • Duration: 1 Month

About This Course

The beginner’s R programming course is designed for those new to R and aims to provide a solid foundation in R programming and data analysis. Participants will learn the basics of the language and data analysis techniques, and gain hands-on experience working with real-world data sets. The workshop will provide participants with the skills and knowledge they need to continue learning R programming on their own.

The advanced R programming workshop is designed for those who already have some experience with R and aims to build on the concepts learned in the beginner’s workshop. Participants will learn advanced data manipulation and visualization techniques, advanced statistical analyses, handling large datasets, and reproducible data analysis workflows. The workshop will provide participants with the skills and knowledge they need to perform more complex data analysis tasks and apply R in specific domains such as bioinformatics, text mining, and machine learning.

Aim

To provide a comprehensive overview of the R programming language, from the basics to advanced topics, in order to enable participants to effectively use R for data analysis, statistical modeling, and data visualization.

Courses Structure

  1. Installing R and R Studio
  2. R data types, R data structures – vector R data structures – list, data frames
  3. Control Flow in R – if else, for loop
  4. Apply family of functions in R and Determining the sequence composition of DNA, Protein and Primer
  5. Quality Control with R Data analysis and graphs in base R R libraries – installation – and Dplyr library ggplot2 – The Grammar of Graphics – Bar graph Box plot and Violin plot Sequence analysis with seqinr and shortread library – Bioconductor

Who Should Enrol?

Students, Graduates, Post Graduates, Research Scholars, Academicians, Engineer, Data Scientist, Industry Professionals

Important Dates

Registration Ends

03/03/2023
IST 10:00 AM

Courses Dates

02/27/2023 – 03/06/2023
IST 11:00 AM ONWARDS

Fee Structure

Student

₹3299 | $50

Ph.D. Scholar / Researcher

₹4499 | $75

Academician / Faculty

₹5499 | $90

We accept 20+ global currencies. View list →

What You’ll Gain

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

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