Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

Register

Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

Register

Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

Register

The National Institute of General Medical Sciences created the Maximizing Investigators’ Research Award (MIRA) program in 2016, both to broaden the pool of investigators supported by NIH and to provide investigators more flexibility in their research directions than awarded in a traditional NIH R01. Research areas supported by the MIRA include many basic biomedical research topics including: biophysics, biomathematics, pharmacology, physiology, biotechnology, cellular and developmental biology, and genetics. The purpose of this workshop is to introduce researchers to the MIRA mechanism and provide some strategies for approaching different aspects of the MIRA application. We will pay special attention to the sections new to the latest re-issuance of the funding opportunity, namely the Plan for Enhancing Diverse Perspectives and the NIH Data Management and Sharing Plan.

On Thursday, August 10th you'll learn more about the MIRA program, including:

• What is the MIRA, and how is it different from an R01?
• Developing your Research Strategy Section
• The NIH Data Management and Sharing Plan

This session will be held online or in-person at the Talley Student Center on the NC State campus in Raleigh, NC.

On Friday, August 11th you'll have the opportunity for hands-on writing practice. This session is only available in-person at the Talley Student Center and will include brainstorming techniques for your Plan for Enhancing Diverse Perspectives, and getting the most out of your NIH Biosketch.

This workshop is presented by the NC State Proposal Development Unit, with support from NC TraCS and the NC State Genetics and Genomics Academy.

register

Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

Register

The National Institute of General Medical Sciences created the Maximizing Investigators’ Research Award (MIRA) program in 2016, both to broaden the pool of investigators supported by NIH and to provide investigators more flexibility in their research directions than awarded in a traditional NIH R01. Research areas supported by the MIRA include many basic biomedical research topics including: biophysics, biomathematics, pharmacology, physiology, biotechnology, cellular and developmental biology, and genetics. The purpose of this workshop is to introduce researchers to the MIRA mechanism and provide some strategies for approaching different aspects of the MIRA application. We will pay special attention to the sections new to the latest re-issuance of the funding opportunity, namely the Plan for Enhancing Diverse Perspectives and the NIH Data Management and Sharing Plan.

On Thursday, August 10th you'll learn more about the MIRA program, including:

• What is the MIRA, and how is it different from an R01?
• Developing your Research Strategy Section
• The NIH Data Management and Sharing Plan

This session will be held online or in-person at the Talley Student Center on the NC State campus in Raleigh, NC.

On Friday, August 11th you'll have the opportunity for hands-on writing practice. This session is only available in-person at the Talley Student Center and will include brainstorming techniques for your Plan for Enhancing Diverse Perspectives, and getting the most out of your NIH Biosketch.

This workshop is presented by the NC State Proposal Development Unit, with support from NC TraCS and the NC State Genetics and Genomics Academy.

register

Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

Register

The REMAP-CAP Adaptive Platform Trial: Recent Insights and Future Directions

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Patrick Lawler, MD, MPH
Cardiology and Critical Care Divisions
McGill University and University of Toronto

Learn More

Whole Community Connection: Information Session

Do you share the vision of a healthy, thriving North Carolina for all through community-academic partnerships? Apply to be a Whole Community Connection Champion with a team of 2 community members and 2 UNC faculty or researchers.

Why Apply: Leadership Development + Project Funding

• Enhanced skills and tools to lead and be more effective in your work
• New and diverse connections to improve health and transform further systems change
• $45,000 for community-led project in Edgecombe or Robeson County

Review the application process and email your team's completed application as a PDF to This email address is being protected from spambots. You need JavaScript enabled to view it. by September 15, 2023.

Questions? Participate in this information session to learn more about this opportunity.

register

Opportunities to Improve Clinical Trials: Draft Revision of the ICH Good Clinical Practice Guideline (E6R3)

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Prof Sir Martin Landray, FMedSci
Professor of Medicine & Epidemiology
University of Oxford
Chief Executive, Protas

Khair ElZarrad, PhD, MPH
Director, Office of Medical Policy
Center for Drug Evaluation and Research (CDER)
U.S. Food and Drug Administration (FDA)

Adrian F. Hernandez, MD, MHS
Vice Dean and Executive Director
Duke Clinical Research Institute
Duke University School of Medicine

Learn More

AI in Target Identification and Drug Discovery: Transforming the Future of Medicine

Artificial intelligence (AI) is taking a transformative role in target identification and drug discovery. Today, AI algorithms can analyze vast, multi-modal datasets to identify drug targets, accelerate lead compound discovery, and optimize drug design. AI is being used by biotechnology companies around the world to compress timelines and improve clinical trial outcomes.

Join Kimberly Robasky, Associate Director of Machine Learning / AI at Arrakis Therapeutics, to uncover the data-driven revolution in personalized medicine enabled by AI-driven drug development.

Learn more at datascienceconsortium.org.

register

Pragmatic Trial of an EHR Application to Display Real-time PRO Data: Successes and Challenges

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Gabriela Schmajuk, MD, MS
Professor of Medicine
UCSF and the San Francisco VA

Learn More

NC BERD Seminar: Machine Learning for Precise Diagnostics and Therapeutics

Drug discoveries have been instrumental in improving global health over the last century, but the median drug now takes about 10 years to bring to market and costs over a billion dollars to develop. Rohit Singh, PhD, works to expedite the development of precise diagnostics and therapeutics by applying machine learning. In this seminar, Singh will outtline two recent research directions. In the first part, Singh uses single-cell multiomics to discover regulatory mechanisms governing the interaction between the epigenome, transcription factors, and target genes. This approach relies on methodological innovation, developing new Granger causal inference techniques to capitalize on the "parallax" between simultaneous but separate measures of cell state. In the second part, Singh will introduce the application of large language models to model protein interaction and function. These protein language models enable powerful new approaches to predicting and understanding protein-protein and protein-drug interactions. This seminar will conclude with a prospective look at how similar methods may help answer foundational questions in both basic and translational science.

Speaker:
Rohit Singh, PhD
Assistant Professor
Departments of Biostatistics & Bioinformatics and Cell Biology
Duke University

This event is sponsored by Duke University Departments of Computational Biology and Bioinformatics (CBB) and Biostatistics and Bioinformatics, the Duke Center for Genomic and Computational Biology (GCB), the Precision Genomics Collaboratory, and the Duke University School of Medicine. It is being cross-promoted by the North Carolina BERD Consortium (Duke University School of Medicine, University of North Carolina-Chapel Hill, and Wake Forest School of Medicine).

Engagement in Research Interactive Workshop: Developing and Implementing Your Community/Patient Engagement Plan

In this session, participants will have the opportunity to ask questions about and seek feedback on their patient and/or community engagement plans from facilitators (UNC engagement staff & community partners) and other attendees. This session serves as an interactive workshop in which participants will get a chance to: 1) discuss their engagement plans; 2) troubleshoot issues they are experiencing; 3) get new ideas while learning from others; and 4) leave the session with an updated engagement plan document.

To attend, participants must be in the process of developing or implementing a patient and/or community engagement plan for an active or upcoming project. Those who have engagement plans from previous projects may also be interested in attending, as this workshop may present an opportunity to improve upon or revise a prior engagement plan for future use. Participants must have attended one or more of the Engaging Patient, Community, and Other Partners in Your Research: Online Training Series sessions offered by NC TraCS and UNC Lineberger OR have some knowledge of engagement in research, whether from prior trainings or personal experience. This workshop focuses on research partner engagement, which involves collaborating with patient, community, or other partners who are not enrolled in your study to improve the study's design, conduct, and/or dissemination (it does NOT focus on research participant engagement, where the goal is to retain participants who are enrolled in a study).

Preparing for this workshop: When completing the Eligibility Screener in Qualtrics, you will have the opportunity to download the 1-page Engagement Plan Template. You do not have to submit your engagement plan in advance of the workshop; however, please come to the session with an engagement plan document that you can share with the group during discussion (e.g., a completed Engagement Plan Template or previously written engagement plan).

Please note: We will not be presenting information about engaging patient, community, or other partners in research during this session; instead, we will ask participants to share where they are with their projects/engagement plans, ask questions about their engagement plans, and collectively discuss strategies for moving their engagement plans forward.

ELIGIBILITY SCREENER

The Engaging Patient, Community, and Other Partners in Your Research: Online Training Series is a multi-part online training series about engaging patient, community, and other partners in research. You may register for the entire series OR any single training session.

Part 1 will focus on the basics of research engagement, providing an overview of patient and community engagement and its benefits, debunking common myths and misconceptions, and providing considerations and next steps for incorporating engagement approaches into your research.

Part 2 will cover specific engagement methods, including consultative community feedback sessions, advisory boards, and working with patient and community partners as members of a research team.

Part 3 will focus on the nuances of building and maintaining partnerships, outlining best practices for developing and strengthening mutually beneficial partnerships and discussing common partnership challenges and solutions.

Those who are in the process of developing, implementing, or revising a patient and/or community engagement plan for an active or upcoming project may be interested in attending our Engagement in Research Interactive Workshop, during which participants will have the opportunity to ask questions and seek feedback on their engagement plans in a small group setting.

This training series was developed collaboratively with patient, community, and researcher partners and is co-sponsored by the UNC Lineberger Comprehensive Cancer Center and NC TraCS Institute.