Creating consistent, reliable data that is ready for analytics can be a time-intensive task including many different techniques. Explore data preparation ideas to help drive better insights from analytics, moving from basic best practices to advanced options. This webinar is for data scientists, data engineers, data stewards and analysts.
Frequency analysis, summary statistics, correlation and segmentation.
Data cleansing, analytic enrichment and feature engineering topics.
How to implement and automate data preparation steps, saving 50 to 80 percent of model development time.