Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Introduction to R Programming
Overview of R programming and its applications.
Basics of R syntax and data structures.
Case studies on R programming in various fields.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Data Manipulation with dplyr
Techniques for data manipulation using dplyr.
Practical session on data wrangling and transformation.
Discussion on best practices for data manipulation.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Data Visualization with ggplot2
Introduction to data visualization with ggplot2.
Practical demonstration of creating various plots.
Case studies on effective data visualization.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Case Studies and Applications
Review of significant case studies in R programming.
Applications in bioinformatics, finance, and social sciences.
Future trends and research directions.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Advanced Data Analysis
Advanced techniques for data analysis in R.
Practical session on statistical modeling and hypothesis testing.
Troubleshooting and optimizing data analysis workflows.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Machine Learning with R
Overview of machine learning techniques in R.
Practical session on implementing machine learning models.
Case studies on machine learning applications.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Shiny for Interactive Web Applications
Using Shiny to create interactive web applications.
Practical session on building and deploying Shiny apps.
Case studies on Shiny applications in research and industry.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Biotechnology in R Programming
Strategies for integrating biotechnology in R programming.
Case studies on biotechnological applications.
Future trends and challenges in the field.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Big Data Analytics with R
Introduction to big data analytics with R.
Techniques for handling large datasets.
Hands-on session with big data tools.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: High-Throughput Data Analysis
Using R for high-throughput data analysis.
Practical session on setting up and running high-throughput assays.
Troubleshooting and optimizing high-throughput processes.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Integrative Approaches
Combining R programming with other technologies.
Case studies on integrative approaches.
Practical session on multi-omics data integration.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Future Directions
Emerging trends and technologies in R programming.
Discussion on potential breakthroughs and innovations.
Networking session for collaborative research opportunities.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Bioinformatics Data Analysis
Introduction to bioinformatics data analysis with R.
Case studies on analyzing genomic and proteomic data.
Practical session on bioinformatics workflows.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Genomic Data Visualization
Techniques for visualizing genomic data in R.
Case studies on genomic data visualization.
Practical session on creating genomic plots.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Statistical Genomics
Using statistical methods in genomics.
Case studies on statistical genomics.
Practical session on genomic data analysis.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Future Challenges in Bioinformatics
Discussion on future challenges and opportunities in R programming for bioinformatics.
Strategies for addressing these challenges.
Networking session for collaborative solutions.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Multi-Omics Data Integration
Introduction to multi-omics data integration.
Practical session on combining genetic, epigenetic, and proteomic data.
Case studies on integrative approaches.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: R Programming and Ecology
Exploring the intersection of R programming and ecology.
Case studies on ecological applications.
Practical session on ecological data analysis.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Computational Tools and Resources
Overview of computational tools for R programming.
Hands-on session with popular software and databases.
Discussion on best practices and resources.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Future Trends and Collaborations
Discussion on future trends in R programming.
Strategies for fostering collaborations.
Networking session for potential partnerships.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes