Graphs — Analysis and Visualization

Advance your knowledge of Data Science and Analysis

Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 1 Continuing Education Units (CEUs) upon course completion.

Course description

As the availability of data and computer processing power explodes, it is becoming even more important to study and analyze data that can be transformed into visual graphs.

Data visuals present the analyzed data in ways that are accessible to and engage different stakeholders.

Participants in this course will engage in a variety of interactive exercises to get hands-on experience in the process of transforming graph-based data into insight for making better decisions.

Who is the program for?

This program is designed for individuals who interact with data on a daily basis and want to gain an understanding of the challenges and best practices related to graphs, their analysis, and visualization of data.

• Data scientists
• Data Analysts
• Engineers
• Neuroscientists
• Healthcare Administrators

Acquire essential knowledge in Data Science

Designed by JHU Faculty, the curriculum covers key areas of the evolving data science landscape.

• Graph Theory Fundamentals
• Computational Graph Analysis
• Graph Visualization Techniques
• Graph Algorithms for Real-World Applications
• Data Visualization & Interpretation

Payment Options

Tuition Remission

Full-time, benefits-eligible Johns Hopkins University faculty or staff members are eligible to receive tuition remission if: you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days you continue in a full-time position while enrolled in courses. You receive 100% remission if: your department certifies that the course benefits your professional development your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation. ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements. Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission. There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website. You will receive a link to the tuition remission form via email to start the process of gaining tuition remission.

• you are a full-time, benefits-eligible faculty or staff member who has been employed by JHU for at least 120 days
• you continue in a full-time position while enrolled in courses.

You receive 100% remission if:

• your department certifies that the course benefits your professional development
• your department is willing to assume the cost if you do not attend the course or if you cancel with less than one week’s notice. The one-week cancellation notice is waived only for emergencies with written documentation.

ELIGIBILITY: Full-time Johns Hopkins University faculty and staff qualify for Tuition Remission after the employee completes 120 days of full-time employment at the university. Please visit the Benefits website at https://hr.jhu.edu/benefits-worklife/tuition-assistance/ for information and requirements.

Visiting Faculty and Staff, Residents, Interns, Postdoctoral Fellows, Retirees, and Dependents are not eligible for Tuition Remission.

There is an annual limit of 2 classes per calendar year for noncredit professional development courses taken at JHU. For more information on this policy, please refer to the HR website.

You will receive a link to the tuition remission form via em

Built for Everyone

Live In-person Learning

Experience dynamic, face-to-face learning with JHU faculty and fellow professionals in this engaging in-person course. Participate in interactive discussions, hands-on exercises, and real-world case studies while building valuable connections in a collaborative classroom environment.

Dedicated course support

Johns Hopkins University faculty are readily accessible to address your questions in the course, ensuring a personalized learning experience.

Engaging materials

Content and use cases ensure it is current and relevant to the AI arena today.

Hands-on activities

Hands-on activities that ensure you leave with actionable takeaways.

Faculty

Will Gray-Roncal

Johns Hopkins University Instructor

Will Gray-Roncal is a Principal Research Scientist at the Johns Hopkins University Applied Physics Laboratory, with expertise in data science, neuroscience, artificial intelligence, precision medicine, and learning research, including leadership of the CIRCUIT Program (www.circuitinstitute.org). 

Gray-Roncal’s research spans diverse domains ranging from undersea to outer space; a principal focus has been on mapping the networks of the brain at different resolutions and connecting this information to advanced artificial intelligence algorithms.

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