About
One of the main attractions of using the R (http://cran.at.r-project.org) environment is the ease with which users can write their own programs and custom functions. The R programming syntax is extremely easy to learn, even for users with no previous programming experience. Once the basic R programming control structures are understood, users can use the R language as a powerful environment to perform complex custom analyses of almost any type of data.
Aim
The “R Programming for Data Analytics in Bioinformatics” workshop aims to equip participants with the essential skills to harness the power of R for data analysis, visualization, and statistical modeling. This 3-day workshop is designed to provide hands-on experience with R, enabling participants to transform raw data into actionable insights.
Workshop Objectives
To create vectors and matrices and perform simple operations on them.
To extract relevant information and incorporating into data file.
To perform statistical analysis and visualization of given data set.
Workshop Structure
Day 1: Introduction to R and R Studio, Vector and Matrices
Vector and matrices, importing data into R, Sub setting data, and logistics statement
Setting up the working directory, Producing numeric summaries for categorical and numeric variables
Day 2: R packages and Statistical Analysis
Working on dplyr, Amelia, gmodels R packages.
Basics Statistical Analysis with R
Day 3: Data Visualization and prediction model
Data Visualization with ggplot2
Insulin prediction model
Participant’s Eligibility
Undergraduate degree in Bioinformatics, Biology, Biotechnology or related fields.
Professionals in data-driven industries such as, healthcare, or marketing.
Individuals with a keen interest in data analysis and statistical computing
Important Dates
Registration Ends
2024-09-24
Indian Standard Timing 7:00 PM
Workshop Dates
2024-09-24 to 2024-09-26
Indian Standard Timing 8:00 PM
Workshop Outcomes
Proficiency in R programming and data manipulation.
Ability to conduct statistical analysis and hypothesis testing.
Competence in creating and interpreting data visualizations.
Knowledge of predictive modeling techniques.
Hands-on experience with real-world data analytics projects.
Mentor Profile
AFROZ ALAM scaled
Name: Dr. Md Afroz Alam
Designation: Professor and Head
Affiliation: Shalom New Life College, Bengaluru, Karnataka
Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.
