March 8-10, 2017
Montreal, Canada
Introduction to Data Analytics and Business Intelligence
Data never sleeps, so this talk will provide you strong foundations on libraries, frameworks, and utilities to build pipelines, analyze data, and help you make better predictions. We will start by looking at Python libraries (Pandas, Numpy, Theanos) and then we will integrate them with powerful APIs (Google Webmaster Tools, Google Adwords, and Google Analytics). Then, we will
shift our focus to e-Commerce and Data Warehousing applications.
shift our focus to e-Commerce and Data Warehousing applications.
Santiago Paiva
Semanttica, Polydigital
I am a Senior Software Developer working with Python and Go on Cloud Automation (mainly AWS). I am passionate about building large-scale data infrastructure applications. Recently, I became interested in emerging technologies in the Web3/dWeb space. I am currently exploring how to integrate software applications with Akash Network and the Handshake Protocol.
Montreal 2017 sponsored by
