WEBINAR: Getting Data Down to a Science – Code-free and Code-friendly ML - 5th September 2018

Data Science helps answer some of the most basic - and the most complex - business questions. In this latest Data Science Central webinar you will learn how to get data down to a science with code-free and code-friendly self-service analytics platforms. Decisive Data’s Lead Data Scientist Tessa Jones will use a sample data set from a global corporation to answer some of the most common data science questions applicable across businesses. Learn how to use code-free and code-friendly Machine Learning: Dive – Swim in the data and dive into a few common business questions with answers in data science including demand forecasting and customer segmentation. Build – Walk through two data science models including code-free time series and clustering machine learning models. Customize – Implement custom R code into models. Refine – Enhance your methods with rapid self-service techniques. Display – Creatively display information visually in Tableau and tell a story that makes the findings clear and captivating using the Art + Data methodology. Speakers: Tessa Jones, Lead Data Scientist -- Decisive Data Scott Trauthen, Director of Marketing -- Alteryx Hosted by: Bill Vorhies, Editorial Director -- Data Science Central   Title:  Getting Data Down to a Science – Code-free and Code-friendly Machine Learning Date:  Wednesday, September 5th, 2018 Time:  9 AM - 10 AM PDT

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