JMP Discovered

Live Webinar Series

Get in the Know: Enhance your data analytic skills to better inform your work and outcomes

Data-guided decision making is the new way of operating. Our governments are forming data strategies to guide policy decisions and provide economic advantage. Many companies have ambitions to better exploit data in decision making. Data Science and Analytics are suddenly the darlings of Scientists and Engineers. Sustained engagement with statistical approaches is needed to inform our work in more impactful ways.

Please attend this free webinar series to get tips from a data analytics problem solver with deep experience of turning data into insight to drive better informed decisions faster. Through a series of case studies see what it really takes to get the most out of your data with JMP and how simple it is.

Whether you are working in research, development, analytical methods, manufacturing, engineering, or consumer research, see how to get more done and deliver greater impact in your work with the aid of data analytics.

Attend as many of the series as you want. These webinars will not be recorded, nor will they be available on demand afterwards. Don’t miss out, and please invite friends and colleagues so they can also see how data analytics enhances our scientific and engineering discoveries.

Speaker

David Burnham

Pega Analytics Ltd


David has over 20 years of experience working in the software industry, with a focus on the application of statistical software applied to problem solving, quality and process improvement. He has worked on major projects in a variety of industrial sectors including pharmaceutical, semiconductor and insurance. Ten years ago David founded Pega Analytics: a JMP partner organisation dedicated to providing training, mentoring and consulting services to organisations using JMP software. David holds a degree in Physics and a masters in Operational Research.


Register for selected webinars.
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  Get in the Know: Automating your repetitive data analysis tasks 28 Jan. | 13:00 GMT | 14:00 CET
 
 

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