Predictive modeling can be tough to implement in itself. Additionally, increasing data types and sources are making the data preparation process more complex too. Experts know that while predictive modeling can deliver substantial business gains, it can also wreak havoc if the data used for analysis is not accurate or complete.
In this live webinar, we will walk you through the steps to build the right dataset for more accurate predictive modeling. You’ll learn how to:
Access the quality of your data
Cleanse and prepare data for analysis
Decide what predictive modeling techniques to use
Join the webinar to get practical advice on making data preparation and predictive analytics more accessible throughout your organization.
Dr. Dan Putler, Chief Scientist -- Alteryx
Matt Madden, Product Director -- Alteryx
Bill Vorhies, Editorial Director -- Data Science Central