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.

Enroll
Batches
Explore

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

2024-09-17
Indian Standard Timing 7:00 PM

Workshop Dates

2024-09-17 to 2024-09-19
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

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.

Fee Structure

Student

INR. 1199
USD. 50

Ph.D. Scholar / Researcher

INR. 1399
USD. 55

Academician / Faculty

INR. 1699
USD. 60

Industry Professional

INR. 1999
USD. 85

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

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Learner Support

Best of support with us

Phone (For Voice Call)

WhatsApp (For Call & Chat)

Certificate

Access to Live Lectures
Access to Recorded Sessions
e-Certificate
Query Solving Post Workshop

Future Career Prospects

Data Analyst
Data Scientist
Business Analyst
Quantitative Analyst
Statistical Consultant
R Programmer

Country

Profession

Affiliation

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.