R Programming for Data Analytics in Bioinformatics
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Course Overview
Workshop Registration End Date :2024-09-24
Program Syllabus
Module 1
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.
Module 2
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.
Module 3
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.
Module 4
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
Module 5
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
Module 6
Important Dates
Module 7
Registration Ends
2024-09-24
Indian Standard Timing 7:00 PM
Module 8
Workshop Dates
2024-09-24 to 2024-09-26
Indian Standard Timing 8:00 PM
Module 9
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.
Module 10
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Mentor Profile
Dr. Md Afroz Alam
Professor and Head
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 . . .
Module 11
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 12
Student
INR. 999
USD. 30
Module 13
Ph.D. Scholar / Researcher
INR. 1199
USD. 35
Module 14
Academician / Faculty
INR. 1399
USD. 50
Module 15
Industry Professional
INR. 1699
USD. 75
List of Currencies
Module 16
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 17
Future Career Prospects
- Data Analyst
- Data Scientist
- Business Analyst
- Quantitative Analyst
- Statistical Consultant
- R Programmer
Module 18
Country
Affiliation
Module 19
Profession
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Module 20
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 21
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
R Programming for Data Analytics in Bioinformatics
Professional Certification Program
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FormatLive + Recorded
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Duration8 Weeks
📜
CertificationVerified
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