In-Depth Analysis of Data Science with KNIME Platform

This workshop is organised and supported by Prince Sultan University, Riyadh, Saudi Arabia

Organised by

  • Workshop Chair:

    • Dr. Tanzila Saba, Prince Sultan University, Riyadh, Saudi Arabia


    Workshop Committee/Co-chair:

    • Dr. Liyakatunisa Syed, Taibah University, Madinah,Saudi Arabia
    • Dr Hoshang Kolivand, Liverpool John Moores University, Liverpool, United Kingdom

KNIME Analytics platform is one of the most popular open source platforms used in data science to automate the data science process. KNIME has a collection of thousands of interrelated nodes which creates a workflow which can be executed locally as well as can be executed it in the KNIME web portal after deploying the workflow into the KNIME server.

In this workshop session, major steps in a data science project using the KNIME Analytics Platform will be covered, from Data Collection, Data Cleaning, Feature Selection, Machine Learning, Model deployment to Model Evaluation.

 Workshop Outline:

  • Introduction to the data science life cycle
  • Introduction to KNIME Analytics platform
  • Data Access
  • Data Manipulation
  • Machine Learning
  • Data Visualization
  • Model Deployment


Target Audience:

Graduate students, postdocs, and research scholars considering careers in data science, Data Scientists, and Data Science Enthusiasts.