R Programming for Data Analytics in Bioinformatics
R Programming for Bioinformatics: Unlock Data, Drive Discovery!
About This Course
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
Who Should Enrol?
- 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
09/24/2024
IST 7:00 PM
Workshop Dates
09/24/2024 – 09/26/2024
IST 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.
Fee Structure
Student
₹999 | $30
Ph.D. Scholar / Researcher
₹1199 | $35
Academician / Faculty
₹1399 | $50
Industry Professional
₹1699 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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