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Big Data Predicative Analytics

By: eXampleCG

Lagos State, Nigeria

28 - 30 Apr, 2016  3 days

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NGN 150,000

  • Cluster Introduction
  • Predictive Analytics Overview
  • Types of Methods
  • Business Value of Analytics
  • Application Areas Measurement and Data
  • Project Objectives, Methodology and Project Management Phases
  • Data - Scale and Types
  • Sampling Methods
  • Descriptive Statistics
  • Data Visualization
  • Data Distributions (Binomial, Poisson, Normal)
  • Probability Estimates Statistical Inference
  • Hypothesis Formulation
  • Point and Interval Estimates
  • Confidence Intervals
  • Sample Size Calculations (Proportion)
  • Sample Size Calculations (Variable)
  • Testing Hypothesis (Means - One and Two Samples)
  • Testing Hypothesis (Variance - One and Two Samples)
  • Non-Parametric Hypothesis (Proportions - One and Two Samples)
  • Non-Parametric Hypothesis (Median - One and Two samples)
  • Testing Hypothesis (Means - Multiple Samples)
  • Testing Hypothesis (Variance - Multiple Samples)
  • Non-Parametric Hypothesis (Proportion - Multiple Samples)
  • Non-Parametric Hypothesis (Median - Multiple Samples) Statistical Modeling
  • Classification - Decision Trees
  • Classification, Naive Bayes
  • Classification - k-Nearest Neighbours (k-NN)
  • Classification - Neural Networks (ANN)
  • Cluster Analysis (k-Means)
  • Association Rule Mining
  • Time Series Forecasting - Naive, Moving Average, Exponential Smoothing, ARIMA, Seasonality and Box-Jenkins Models
  • Regression - Linear
  • Regression - Non-Linear (Polynomial, Logarithmic, Exponential, Power)
  • Regression - Logistic
  • Regression Hypothesis testing
  • Model Identification, Estimation and Assessment
  • Case Study
  • Exercise Feedback and Assessment

This course holds in Lagos, Abuja and Port Harcourt

Lagos Apr 28 - 30 Apr, 2016
NGN 150,000.00
(Convert Currency)

08122700086