Data Science

Graphs: Analysis and Visualization

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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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with 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 VisualizationAs 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.

[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=”Demonstrate the mathematical concepts and programming tools necessary to explain core graph theory, practical and application driven topics.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Apply course concepts and skills to create, interact with, visualize, and analyze graphs.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Discuss random and real-world graphs, and common local and global analysis techniques for operating on graphs.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Explain how graphs can be used to leverage relationships (e.g., correlations, clustering) in real data.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Discuss the basics of more advanced topics such as scaling, ethics, and dynamic graphs.” heading_tag=”p” list_icon=”Defaults-check”][/info_list_item][info_list_item list_title=”Demonstrate the course techniques on one or more real-world applications in neuroscience, medicine, or a domain of your choice.” 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]

A working knowledge of calculus, statistics, computer science, software design, and systems engineering practices with some exposure to data science and data structures.

[ultimate_heading main_heading=”Who Should Take this Course” 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]
[bsf-info-box icon=”Defaults-edit pencil-square-o” icon_size=”32″ icon_color=”#b3b3b3″ title=”Engineers, scientists, and analysts focused on turning data into visual representation. Managers who want to gain an understanding of the challenges and best practices related to graphs, their analysis, and visualization of data. Practitioners who are looking to increase their understanding of how to interpret data into insights.” 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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