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SDS|2017 Data Science Bootcamp

Date: 15 June 2017

Venue: Kursaal, Bern

 

Advanced analytics is key to insights and value derived from data. This is true not only since themes like Big Data, Internet of Things, Social Media and the like are trending. However, discovering hidden treasures is just one of many steps in the analytical lifecycle. Only a holistic view on that lifecycle enables companies to successfully create new products and services, adapt processes, propose next best actions to clients and prospects, and generally make the best out of their business strategy!

This Data Science “hands-on” bootcamp will address the whole analytical lifecycle and cover the following topics:

  • How can business users take advantage of advanced analytics, and unfold hidden relations, dependencies and other insights, without having a deep statistical background?

  • How can data scientists make use of their skills or their newest algorithmic developments in e.g. R or Python and still use a proven analytical production environment?

  • How will these insights come into “production” (and what does this actually mean)?

  • How can data scientists and business users take advantage of modern techniques such as SAS Visual Data Mining and Machine Learning?

 

The Data Science Bootcamp is targeted to:

  • Business users, with basic analytical background, who need to have a deep understanding of their data

  • Chief Analytics Officer (CAO), data scientists, statisticians and analytical experts, etc.

 

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Program

Registration

 

Registration fee - CHF 60 per attendee. 

Maximum attendees - 60

Themes
  • Introduction to the Analytical Lifecycle
     

  • Visual Analytics: How to use state-of-the-art functionality to explore and qualitatively understand data
    Hands-on use case targeted to business users
     

  • Visual Statistics: How to use state-of-the-art functionality to gain deeper quantitative insights from data
    Hands-on use case targeted to advanced business users, DS, statisticians etc.
     

  • SAS Studio: How to code analytics programs in an open environment
    Demo use case
     

  • Most sophisticated analytics: Visual Data Mining and Machine Learning in SAS Viya
    Demo and Hands-on use case targeted to advanced business users, DS, statisticians etc.
     

  • Closing the Loop: Bringing Insights to production
     

  • Wrap up / Q&A / Closing