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Big Data Predictive
Analytics Certification
Strategy | Process | Analytics Training
training@examplecg.com | www.examplecg.com
World leading companies focus on the future. Big
Data Predictive Analytics is a set of techniques that
help to predict the future by discovering patterns
embedded in past and present data. Learn more at
the upcoming Predictive Analytics training and
certification workshop and shape the future!!
 Introduction
 Analytics Overview
 Business Value of Analytics
 Application Areas
 Measurement and Data
 Project Objectives
 Data – Scale and Types
 Sampling Methods
 Data Visualization & Distribution
 Statistical Inference
 Point and Interval Estimates
 Sample Size Estimation
 One and Two Tail Tests
 One, Two, Multiple Sample Tests
 Hypothesis - Means & Variances
 Hypothesis – Proportions & Median
 Statistical Modeling
 Classification (Bayes, k-NN, ANN)
 Cluster Analysis and Association Rules
 Time Series Forecasting Models
 Linear, Non-Linear, Logistic Regression
 Model Validation
 Principal Component Analysis
 Assessment & Feedback
CourseOutline
Certification Process
• All attendees get Participation Certificate
• Pass objective type exam for Course
Completion Certificate
• Complete a live project for Practitioner
Certificate
• PDU Credits: 25 PDUs / 2.5 CEUs
Who should attend?
 Senior, Middle Business / Functional Execs
 Business/Functional Consultants/Trainers
 Entrepreneurs and Start-up Leaders
 Academic / Education Faculties
 Junior Execs, Freshers / Trainee / Student

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E xamplecg predictive analytics certification course brochure

  • 1. Big Data Predictive Analytics Certification Strategy | Process | Analytics Training training@examplecg.com | www.examplecg.com World leading companies focus on the future. Big Data Predictive Analytics is a set of techniques that help to predict the future by discovering patterns embedded in past and present data. Learn more at the upcoming Predictive Analytics training and certification workshop and shape the future!!  Introduction  Analytics Overview  Business Value of Analytics  Application Areas  Measurement and Data  Project Objectives  Data – Scale and Types  Sampling Methods  Data Visualization & Distribution  Statistical Inference  Point and Interval Estimates  Sample Size Estimation  One and Two Tail Tests  One, Two, Multiple Sample Tests  Hypothesis - Means & Variances  Hypothesis – Proportions & Median  Statistical Modeling  Classification (Bayes, k-NN, ANN)  Cluster Analysis and Association Rules  Time Series Forecasting Models  Linear, Non-Linear, Logistic Regression  Model Validation  Principal Component Analysis  Assessment & Feedback CourseOutline Certification Process • All attendees get Participation Certificate • Pass objective type exam for Course Completion Certificate • Complete a live project for Practitioner Certificate • PDU Credits: 25 PDUs / 2.5 CEUs Who should attend?  Senior, Middle Business / Functional Execs  Business/Functional Consultants/Trainers  Entrepreneurs and Start-up Leaders  Academic / Education Faculties  Junior Execs, Freshers / Trainee / Student