E xamplecg predictive analytics certification course brochure
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This document outlines a predictive analytics certification workshop focused on big data techniques that identify patterns in data to forecast future outcomes. It includes a comprehensive curriculum covering analytics overview, statistical inference, modeling techniques, and project requirements for certification. The training targets a diverse audience including business executives, consultants, and students looking to enhance their analytics skills.
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