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

Introduction to Effective Information Visualization
Basics of R for Data Science and Statistics
Introduction to Programming in R
Introduction to Programming Using Python
Exploratory Data Analysis Using R Markdown
Overview of AI and Deep Learning
Intermediate Python
Introduction to Discrete Choice Modeling in R
Visualization for Data Science in R
Deep Learning in Python
Introduction to Statistical Machine Learning in R
Geospatial Analytics

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

Introduction to Effective Information Visualization
Basics of R for Data Science and Statistics
Introduction to Programming in R
Introduction to Programming Using Python
Exploratory Data Analysis Using R Markdown
Overview of AI and Deep Learning
Intermediate Python
Introduction to Discrete Choice Modeling in R
Visualization for Data Science in R
Deep Learning in Python
Introduction to Statistical Machine Learning in R
Geospatial Analytics

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

Introduction to Effective Information Visualization
Basics of R for Data Science and Statistics
Introduction to Programming in R
Introduction to Programming Using Python
Exploratory Data Analysis Using R Markdown
Overview of AI and Deep Learning
Intermediate Python
Introduction to Discrete Choice Modeling in R
Visualization for Data Science in R
Deep Learning in Python
Introduction to Statistical Machine Learning in R
Geospatial Analytics

View course descriptions

View the course schedule

Register

NC TraCS and the UNC-Chapel Hill School of Medicine's CRSO are hosting a Clinical Trialist Training Bootcamp in-person and virtually beginning August 10th.

The goal of the four-session bootcamp is to educate current and future site Principal Investigators on industry-sponsored clinical trials, including:

• the landscape of clinical trials at UNC
• how to evaluate study opportunities
• elements of study start-up
• investigator responsibilities, and
• overseeing a study throughout its life cycle.

Investigators should leave the training with more confidence on how to conduct industry-sponsored clinical trials and manage research teams.

Sessions will be held from 4-6 p.m. in TraCS room 219 (Brinkhous-Bullitt 2^nd floor) and on Zoom on the following dates:

August 10 —Introduction, NC TraCS and CRSO Services, Research Opportunities and Workflow Development
August 17 —Budget Preparation, Contract Review and Execution, IRB Application
August 24 —PI Responsibilities, Participant Recruitment, Participant Engagment and Consent
August 31 —Protocol Adherence and Data Management, Adverse Events and Protocol Deviations, Site Visits, Coordinator and Staff Oversight

If attending virtually, A Zoom link will be provided to registered participants prior to the first session.

Attendance is limited. Only current or future site Principal Investigators should register.

Please contact Catherine Barnes (This email address is being protected from spambots. You need JavaScript enabled to view it.) with any questions.

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

Introduction to Effective Information Visualization
Basics of R for Data Science and Statistics
Introduction to Programming in R
Introduction to Programming Using Python
Exploratory Data Analysis Using R Markdown
Overview of AI and Deep Learning
Intermediate Python
Introduction to Discrete Choice Modeling in R
Visualization for Data Science in R
Deep Learning in Python
Introduction to Statistical Machine Learning in R
Geospatial Analytics

View course descriptions

View the course schedule

Register

Part 1: Understanding the New NIH Data Management and Sharing (DMS) Policy

The NIH Office of Science Policy (OSP) and the Office of Extramural Research (OER) invite you to join them for an engaging and interactive webinar focused on the new DMS policy which goes into effect on January 25, 2023. In this webinar, you will learn about DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly. Don't miss this valuable opportunity to hear from policy experts and get your questions answered.

RESOURCES: Check out the latest DMS policy information, resources, and FAQs at sharing.nih.gov. This event will be recorded.

QUESTIONS ABOUT THIS WEBINAR: Email the NIH OER Communications Team at This email address is being protected from spambots. You need JavaScript enabled to view it..

register

Make plans to also attend Part 2 of this DMS Webinar Series, "Diving Deeper into the NIH Data Management and Sharing Policy." Register separately at bit.ly/Diving-Deeper-Into-DMS-Policy.

ACCESSIBILITY: NIH strives to host inclusive, accessible events that enable all individuals to engage and participate fully. All presentations will include real-time closed captioning and ASL interpreters. To request additional accommodations or for inquiries about accessibility, please contact This email address is being protected from spambots. You need JavaScript enabled to view it. at least 3 business days before the event.

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

Introduction to Effective Information Visualization
Basics of R for Data Science and Statistics
Introduction to Programming in R
Introduction to Programming Using Python
Exploratory Data Analysis Using R Markdown
Overview of AI and Deep Learning
Intermediate Python
Introduction to Discrete Choice Modeling in R
Visualization for Data Science in R
Deep Learning in Python
Introduction to Statistical Machine Learning in R
Geospatial Analytics

View course descriptions

View the course schedule

Register

Equitably Including Diverse Participants in Pragmatic Clinical Trials

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Consuelo H. Wilkins, MD, MSCI
Senior Vice President and Senior Associate Dean
for Health Equity and Inclusive Excellence
Professor of Medicine
Vanderbilt University Medical Center

Learn More