Data Science

Advanced Graph Analysis and Applications

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Participants in this program 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.

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Will Gray-Roncal
Duration: 4-Day Course
$2,080.00
[ultimate_heading main_heading=”Course Description” main_heading_color=”#333333″ alignment=”left” spacer=”line_only” spacer_position=”bottom” line_height=”5″ line_color=”#ffc000″ main_heading_margin=”margin-top:30px;margin-bottom:20px;” line_width=”30″ main_heading_font_family=”font_family:Rubik|font_call:Rubik|variant:500″ main_heading_font_size=”desktop:18px;” el_class=”lin-heading-separator” spacer_margin=”margin-bottom:25px;” sub_heading_font_family=”font_family:Rubik|font_call:Rubik” main_heading_style=”font-weight:500;”][/ultimate_heading]

Analysis and Visualization

The workshop will consist of 4 days of expert practitioners leading the participants through practical application of advanced graph analysis visualization and analysis scenarios. It will explore core and emerging techniques and applications for network analysis, including centrality analysis, community detection, connectivity analysis, path analysis, link prediction, and scalable approaches. These topics will be explored in the context of real application areas such as precision medicine, neuroscience, resource allocation, cyber security, and anomaly detection, through lectures and experimentation led by experts in the field.

[ultimate_heading main_heading=”Key Takeaways” main_heading_color=”#333333″ alignment=”left” spacer=”line_only” spacer_position=”bottom” line_height=”5″ line_color=”#ffc000″ main_heading_margin=”margin-bottom:20px;” line_width=”30″ main_heading_font_family=”font_family:Rubik|font_call:Rubik|variant:500″ main_heading_font_size=”desktop:18px;” el_class=”lin-heading-separator” spacer_margin=”margin-bottom:20px;” main_heading_style=”font-weight:500;”][/ultimate_heading]

Course attendees will gain an understanding of the challenges and best practices related to graphs, their analysis, and visualization of data. You’ll also be able to interpret data into actionable insights in your organization.

[info_list style=”hexagon” icon_bg_color=”#002d72″ icon_color=”#ffffff” font_size_icon=”12″ eg_br_width=”1″ connector_color=”#002d72″][info_list_item list_title=”Describe key mathematical concepts and algorithms used for different domains and problem spaces, with an emphasis on new techniques.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Develop an understanding of how to approach noisy, real world graph problems, including technical approaches and real-world best practices.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Apply course concepts and skills to analyze technical papers and demonstrate how to extract knowledge from real-world graphs.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Discuss the advantages and disadvantages of different techniques and how to match particular approaches to analyses and problem statements.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][/info_list]
[ultimate_heading main_heading=”Prerequisites” main_heading_color=”#333333″ alignment=”left” spacer=”line_only” spacer_position=”bottom” line_height=”5″ line_color=”#ffc000″ main_heading_margin=”margin-top:30px;margin-bottom:20px;” line_width=”30″ main_heading_font_family=”font_family:Rubik|font_call:Rubik|variant:500″ main_heading_font_size=”desktop:18px;” el_class=”lin-heading-separator” spacer_margin=”margin-bottom:25px;” main_heading_style=”font-weight:500;”][/ultimate_heading]

Fundamental knowledge of data science and graph analysis. Completion of the prior JHU Lifelong Learning workshop Graphs: Analysis and Visualization is recommended, but not required.

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[bsf-info-box icon=”Defaults-edit pencil-square-o” icon_size=”32″ icon_color=”#b3b3b3″ title=”Scientists and engineers with a fundamental understanding of network analysis who want to learn more about methods and models that can be applied to current and emerging problems of scientific and National Security interest.” heading_tag=”p” title_font=”font_family:Rubik|font_call:Rubik|variant:300″ title_font_style=”font-weight:300;” desc_font=”font_family:Rubik|font_call:Rubik|variant:300″ desc_font_style=”font-weight:300;” title_font_color=”#666666″ desc_font_color=”#666666″][/bsf-info-box]
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