BIG DATA & PREDICTIVE ANALYTICS

WITH GUI TOOLS VERSION 3.4

ENQUIRY: +66 (0) 2158 9892 (TH) | +66 (0) 97 936 6304 (ENGLISH LINE)
EMAIL: CONFERENCE@OMEGAWORLDCLASS.ORG

Big Data, Predictive Analytics and Cognitive Analytics are seeing explosive growth. There is a shortfall of individuals who understand these concepts. Not having these skills in any industry which aggregates data leads to an enormous competitive disadvantage.

This course will develop your skills in data analysis, summary statistics, forecasting and predictive analytics as well as predictive analytics using regression, probability and neural networks.

• Predictive Analytics Comprehension.
• Abstraction and Transformation.
• Linear Regression for Numeric Prediction.
• Logistic Regression for Classification.
• Decision Trees for Classification.
• Exhaustive Regression for Numeric Prediction and Classification.
• Bayesian Networks for Classification.
• Neural Networks for Numeric Prediction and Classification.
• Monte Carlo Simulation for Prescriptive Analytics.
• Real Time Invocation methods.
• Using real world case studies.

KEY BENEFITS OF ATTENDING
Goal: You can learn Predictive Analytics for business – even if you are an absolute beginner – in just a week.
Pragmatic Predictive Analytics: A training course to implement analytical techniques in a real business environment cutting through the academic theory to get straight to outcomes. Each case study is based on the real world experience of the
trainer and Jube.
Immediate Return on Training: Several Predictive Analytics disciplines in a single five day training course delivering an all encompassing, enterprise, predictive analytics capability for your business just as the course concludes.

KEY LEARNING OBJECTIVES
• Predictive Analytics Comprehension.
• Basic Statistics.
• Abstraction and Transformation.
• Linear Regression for Numeric Prediction.
• Logistic Regression for Classification.
• Decision Trees for Classification.
• Exhaustive Regression for Numeric Prediction and Classification.
• Bayesian Networks for Classification.
• Neural Networks for Numeric Prediction and Classification.
• Monte Carlo Simulation for Prescriptive Analytics.
• Real Time Invocation methods.
• Using real world case studies.

WHO SHOULD ATTEND
IT EXECUTIVES AND BIG DATA DIRECTORS: CIOs, CAOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers who need to transform their vast repositories of inert data to actionable decisions.
• LINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, Customer
Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts,
Medical Diagnostic Analysts, eCommerce Company Executives.
• TECHNOLOGY PLANNERS AND SYSTEM INTEGRATORS: Who review emerging technologies in order
to consider corporate investment.
• CONSULTANTS: Needing competency in data mining and related emerging information technologies.