Advanced Analytics Workshop 2015

Quantifying business situations for forecasting and analytical modeling is an art and a science. This fast-paced course, with optional hands-on exercise participation, introduces and walks through a collection of descriptive, predictive and prescriptive techniques across the entire Advanced Analytics lifecycle.

Participants will gain an understanding of when to choose specific analytic techniques, algorithms and popular tools used today to solve common business problems. We will also dive into the critical importance of data preparation and sampling. Topics include quantifying business situations for analytical modeling, what-if analysis, data mining, machine learning, optimization and simulation. After learning how to effectively develop models, we will cover evaluating models and embedding intelligent analytics into smart reports, dashboards and applications to deliver actionable insight.
What you will learn

Advanced Analytics Techniques and Tools
Descriptive Analytics Fundamentals
Predictive Analytics and Data Mining
Business Modeling for Prescriptive Analytics
Embedding Analytics into the Business

Main Topics

Introduction to Advanced Analytics
Understanding the Core Areas of Advanced Analytics
Critical Importance of Descriptive Analytics
Building and Evaluating Predictive Models
Forecasting, Data Mining and Machine Learning
Predictive Queries and Decision Rules Engine