Explore the world of data analytics for business leaders in this 50-minute conference talk from the PASS Data Community Summit. Learn how to bridge the gap between technical data scientists and business executives, connecting strategic goals with analytical capabilities. Gain insights into focusing investments in analytics and technology, distilling complex subject matter into comprehensible examples, and accelerating the path to value for analytics initiatives. Discover key concepts such as regression, linear programming, decision trees, clustering, ensemble methods, and deep learning. Understand the role of intuition in data science and how to operationalize analytics in your organization. Presented by a Predictive Analytics Architect in the Oil and Gas industry, this talk aims to demystify data analytics and empower business leaders to make informed decisions in an increasingly data-driven world.
Overview
Syllabus
Introduction
Data Science
Where Do You Stand
Regression
Limitations of Regression
Linear Programming
Nonlinear Programming
Decision Trees
KNearest Neighbor
Value Potential
Clustering
Ensemble
Ensemble Regression
Adaboost
SVM
Neural Networks
Deep Learning
Deep Learning Competition
Data Science Operationally
Do I Create Value
Scale Stock Price
The Plot
The Role of Intuition
Google Maps
Recap
Thank You
Voodoo Math
Tools
Screen Sharing
Crystal Reports
OpenRefine
Resources
Hot Topics
Taught by
PASS Data Community Summit
