DATA INSIGHT

ON-DEMAND WEBINAR

Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers

When looking at a data set, sometimes it is not obvious which visualization works best. You can’t be sure yet which graph will give you the best insights. Data Visualization is exploration of your data and therefore it is extremely important that you can try different approaches in a short time in order to be able to make a qualified decision on what works and what doesn’t.

If you spend hours building graphs in a spreadsheet application just to find out that it does not provide the desired information, you might be reluctant to try again and end up with insufficient conclusions. An intuitive and easy to use graph builder with familiar drag and drop mechanics will ensure that you can quickly try out several approaches and ultimately build a graph that reveals the hidden insights of your data. And chances are you will have fun doing it.

In this webinar, you will learn how to:

  • Identify the challenges of graph building in a spreadsheet application
  • Explore different kinds of graphs to visualize your data
  • Communicate your findings effectively with colleagues and stakeholders

This webinar is for scientists and engineers who want to visualize their data to make better decisions. No coding required.

About the Presenter

Owen Jonathan, Associate Systems Engineer

Owen Jonathan is an Associate Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. His role involves identifying critical business issues of customers in the UK and guiding them as they adopt data-driven solutions for their organizations.

Owen has a master’s in systems and synthetic biology from Imperial College London. Prior to becoming an SE, Owen joined JMP as an intern where he identified design of experiments (DOE) applications in the field of biotechnology and delivered DOE workshops with relevant case studies to synthetic biologists.

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