Workshop: Introduction to KNIME Analytics Platform for Replicable Data Analysis


Sponsored by UBalt CELLT


  • Dr. Ting Zhang, University of Baltimore &, Spatial Data Lab for Regional Policy and Future Work (An Affiliated Lab sponsored by the Spatial Data Lab project at Harvard University)
  • Dr. Shuming Bao, Future Data Lab 
  • Dr. Lingbo Liu, Spatial Data Lab project, Harvard University
  • Minjia Guo, PhD Candidate, University of  Glasgow & Spatial Data Lab for Regional Policy and Future Work (An Affiliated Lab sponsored by the Spatial Data Lab project at Harvard University)

This webinar aims to provide a comprehensive introduction to the KNIME Analytics Platform, a workflow tool for replicable spatial and non-spatial data analysis. The webinar will highlight the key features, functionalities, applications and the numerous benefits KNIME offers to users. KNIME is a powerful open-source data analytics platform that enables individuals to create efficient data pipelines, spanning from data import to model deployment, and allow users to expand its functionalities with new methodologies.

One of the remarkable advantages of KNIME is its user-friendly nature, making it easy to learn and navigate. It is designed to facilitate collaborative work, allowing team members to effortlessly share, review, and collaborate on workflows. With built-in version control, users can effectively manage, ensuring smooth teamwork and seamless workflow automation.

In addition to its collaborative capabilities, KNIME offers seamless integration with various tools and platforms, enhancing its versatility and adaptability. This integration allows users to leverage the full potential of their existing data analysis ecosystem, creating a holistic and efficient workflow environment.

During the webinar, participants will gain hands-on knowledge about the KNIME workflow software. The session will cover essential aspects such as data access, workflow organization, data manipulation, and visualization. These topics are specifically tailored to individuals who are keen on honing their skills in data manipulation, workflow automation, and fostering effective teamwork in data analysis projects.

By the end of the webinar, attendees will have a solid understanding of KNIME's capabilities and how it can be leveraged to optimize their data analysis workflows. Whether you are a beginner or an experienced data analyst, this webinar will provide valuable insights and practical knowledge to enhance your data analytics journey.



Contact Name:
Dr. Ting Zhang
Contact Email:

Appropriate accommodations for individuals with disabilities will be provided upon request 10 days prior to a campus event and 30 days prior to an event requiring travel.

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